Prof. Dr. Rainer Lienhart

Full professor

Chair for Machine Learning & Computer Vision

Phone:	+49 (821) 598 5703
Email:
Room:	1013 (N)
Opening hours:	Wednesday, 2pm - 3pm
Address:	Universitätsstraße 6a, 86159 Augsburg

Contact (.vcf)

Secretary's Office:

Barabara deVega

Phone: +49 821 598-2378

Email: barabara.devega@informatik.uni-augsburg.de

Curriculum/Vitae

Rainer Lienhart is a full professor in the computer science department of the University of Augsburg and chair of the Multimedia Computing and Computer Vision Lab (MMC Lab). His group is focusing on all aspects of (1) large-scale image, video, humans pose, sensor and data mining algorithms, (2) object, human pose and action detection/recognition as well as (3) image, video, human pose and action retrieval.

Since April 2010, he is also the executive director of the Institute for Computer Science at the University of Augsburg. From August 2017 to March 2018 he spent his sabbatical at FXPAL, while in 2009, he spent his sabbatical at Willow Garage – a robotic company, which is working on laying the groundwork for the industry that will be needed to enable personal robotics applications by investing in open source such as OpenCV and open platform adoption models. Rainer Lienhart has always been an active contributor to . From August 1998 to July 2004 he was a Staff Researcher at Intel's Microprocessor Research Lab in Santa Clara, California, where he worked on transforming a network of heterogeneous, distributed computing platforms into an array of audio/video sensors and actuators capable of performing complex DSP tasks such as distributed beamforming, audio rendering, audio/visual tracking, and camera array processing. In particular, this requires putting distributed heterogeneous computing platforms with audio -visual sensors into a common time and space coordinate system. At the same time, he was also continuing his work on media mining, where he is well known for his work in video content analysis with contributions in text detection/recognition, commercial detection, face detection (see also here), shot and scene detection, and automatic video abstraction. He received his Ph.D. in Computer Science from the University of Mannheim, Germany, in 1998, where he was a member of the Movie Content Analysis Project (MoCA).

The scientific work of Rainer Lienhart covers more than 80 refereed publications and more than 20+ patents. He was a general co-chair of ACM Multimedia 2017, ACM Multimedia 2007 and SPIE Storage and Retrieval of Media Databases 2004 & 2005. He serves in the editorial boards of 3 international journals. For more than a decade he is a committee member of ACM Multimedia, IEEE ICME, SPIE Storage and Retrieval of Media Databases, and many more conferences. From July 2009 till June 2017 he was the vice chair of SIGMM.

Research foci

Computer vision:
Object detection/recognition, human pose estimation, image/video captioning, automated visual inspection and error classification, medical image analysis
Machine learning
Esp. deep learning & statistical computing, explainable AI
Automatic content analysis, mining and retrieval of multimedia data
(multimedia = multiple signals from different sources)
Data and (multimodal) signal mining in general

Courses / teaching

(applied filters: semester: current | institute: Multimedia und maschinelles Sehen | course types: Vorlesung, Vorlesung + Übung, Seminar, Pflichtseminar, Proseminar, Proseminar mit Übung, Hauptseminar, Hauptseminar mit Übung, Oberseminar, Praktikum)

name	lecturer	type
Machine Learning and Computer Vision - WIN	Lienhart Rainer Lienhart, Kienzle Daniel Kienzle, Ludwig Katja Ludwig	Vorlesung
Multimedia Projekt	Lorenz Julian Lorenz, Lienhart Rainer Lienhart, Kienzle Daniel Kienzle, Ludwig Katja Ludwig	Praktikum
Foundation Models in Deep Learning	Lorenz Julian Lorenz, Lienhart Rainer Lienhart, Kienzle Daniel Kienzle, Schön Robin Schön, Ludwig Katja Ludwig	Vorlesung
Oberseminar Multimedia Computing	Einfalt Moritz Werner Amadeus Einfalt, Lorenz Julian Lorenz, Lienhart Rainer Lienhart, Kienzle Daniel Kienzle, Schön Robin Schön, Ludwig Katja Ludwig, Scherer Sebastian Scherer	Oberseminar
Machine Learning and Computer Vision	Lienhart Rainer Lienhart, Kienzle Daniel Kienzle, Ludwig Katja Ludwig	Vorlesung
Bayesian Networks	Lorenz Julian Lorenz, Lienhart Rainer Lienhart, Kienzle Daniel Kienzle, Schön Robin Schön	Vorlesung
Seminar über Multimedia und Maschinelles Sehen (Master)	Lorenz Julian Lorenz, Lienhart Rainer Lienhart, Kienzle Daniel Kienzle, Schön Robin Schön, Ludwig Katja Ludwig	Seminar
Seminar über Multimediale Datenverarbeitung (Bachelor)	Lorenz Julian Lorenz, Lienhart Rainer Lienhart, Kienzle Daniel Kienzle, Schön Robin Schön, Ludwig Katja Ludwig	Seminar

Publications

Invited Talks

Prof. Rainer Lienhart, Multimedia Computing and Computer Vision Lab, Universität Augsburg, „Automatische Posenerkennung zur Bestimmung von kinematischen und dynamischen Parametern im Sport“ . Arbeitskreis: Künstliche Intelligenz als Chance für den deutschen Spitzensport. dvs-Hochschultag, 20.09.2019, Berlin.

Selected Journal and Conference Papers

Rainer Lienhart and Jochen Maydt. An Extended Set of Haar-like Features for Rapid Object Detection. IEEE ICIP 2002, Vol. 1, pp. 900-903, Sep. 2002. [PDF]; see also MRL Technical Report Dec. 2002. [PDF]
Cited more then 3700 times
Rainer Lienhart. Comparison of Automatic Shot Boundary Detection Algorithms. In Image and Video Processing VII 1999, Proc. SPIE 3656-29, Jan. 1999. [PDF]
Cited more then 600 times
Rainer Lienhart, Silvia Pfeiffer, and Wolfgang Effelsberg. Video Abstracting. Communications of the ACM , Vol. 40, No. 12, pp.55-62, December 1997. [PDF]
Cited more then 450 times
Rainer Lienhart and Axel Wernicke. Localizing and Segmenting Text in Images, Videos and Web Pages. IEEE Transactions on Circuits and Systems for Video Technology, Vol. 12, No.4, pp. 256 -268, April 2002. [PDF]
Cited more then 600 times
Rainer Lienhart. Video OCR: A Survey and Practitioner’s Guide. In Video Mining, Kluwer Academic Publisher, pp. 155-184, Oct. 2003. [PDF]
Simon Hoffmann and Rainer Lienhart. OpenMP: Eine Einführung in die parallele Programmierung mit C/C++, Springer Verlag, April 2008, ISBN: 978-3-540-73122-1. (zur Verlagsseite) (Errata)
Rainer Lienhart, Alexander Kuranov, and Vadim Pisarevsky. Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection. MRL Technical Report, Intel Labs, May 2002, revised Dec. 2002. [PDF]
Cited more then 1000 times
Rainer Lienhart. Reliable Transition Detection In Videos: A Survey and Practitioner's Guide. International Journal of Image and Graphics (IJIG), Vol. 1, No. 3, pp. 469-486, 2001. [PDF]
Eva Hörster, Rainer Lienhart, Malcolm Slaney. Image Retrieval on Large-Scale Image Databases. ACM International Conference on Image and Video Retrieval (CIVR) 2007, pp. 17-24, Amsterdam, Netherlands, July 2007. [PDF]
Rainer Lienhart, Eva Hörster, Stefan Romberg. Multilayer pLSA for Multimodal Image Retrieval. ACM International Conference on Image and Video Retrieval (CIVR 2009), Greece, July 8-10, 2009.
Also Technical Report 2009-02, University of Augsburg, Institute of Computer Science Apr. 2009. [PDF]
Ina Döhring and Rainer Lienhart. Mining TV Broadcasts for Recurring Video Sequences. ACM International Conference on Image and Video Retrieval (CIVR 2009), Greece, July 8-10, 2009.
Also Technical Report 2009-03, University of Augsburg, Institute of Computer Science Apr. 2009. [PDF]

Complete list of publications

2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2003 | 2002 | 1999 | 1997

2024

Kathrin Baumgartner, Paul Täufer, Michelle Lienhart, Rainer Lienhart and Christoph Westerhausen. 2024. Pulsed surface acoustic waves accelerate wound healing and reveal new parameter limits for cell stimulation in vitro. Journal of Physics D: Applied Physics 57, 15, 155401. DOI: 10.1088/1361-6463/ad18fa
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Daniel Kienzle, Katja Ludwig, Julian Lorenz and Rainer Lienhart. in press. Towards learning monocular 3D object localization from 2D labels using the physical laws of motion. In Theodora Kontogianni, Akihiro Sugimoto, Gopal Sharma (Eds.). International Conference on 3D Vision 2024, March 18-21, 2024, Davos, Switzerland. IEEE, Piscataway, NJ DOI: 10.48550/arXiv.2310.17462
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2023

Katja Ludwig, Julian Lorenz, Robin Schön and Rainer Lienhart. 2023. All keypoints you need: detecting arbitrary keypoints on the body of triple, high, and long jump athletes. In 2023 IEEE/CVF International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 17 2023 to June 24 2023, Vancouver, BC, Canada. IEEE, Piscataway, NJ, 5179-5187 DOI: 10.1109/CVPRW59228.2023.00546
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René Sedlak, Andreas Welscher, Patrick Hannawald, Sabine Wüst, Rainer Lienhart and Michael Bittner. 2023. Analysis of 2D airglow imager data with respect to dynamics using machine learning. Atmospheric Measurement Techniques 16, 12, 3141-3153. DOI: 10.5194/amt-16-3141-2023
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Daniel Kienzle, Julian Lorenz, Robin Schön, Katja Ludwig and Rainer Lienhart. 2023. COVID detection and severity prediction with 3D-ConvNeXt and custom pretrainings. In Leonid Karlinsky, Tomer Michaeli, Ko Nishino (Eds.). Computer Vision – ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part VII. Springer, Berlin, 500-516 DOI: 10.1007/978-3-031-25082-8_33
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Katja Ludwig, Daniel Kienzle, Julian Lorenz and Rainer Lienhart. 2023. Detecting arbitrary keypoints on limbs and skis with sparse partly correct segmentation masks. In IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), Jan. 3 2023 to Jan. 7 2023, Waikoloa, HI, USA. IEEE, Piscataway, NJ, 1-10 DOI: 10.1109/WACVW58289.2023.00051
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Julian Lorenz, Florian Barthel, Daniel Kienzle and Rainer Lienhart. 2023. Haystack: a panoptic scene graph dataset to evaluate rare predicate classes. In 2023 IEEE International Conference on Computer Vision Workshops (ICCVW), October 2-6, 2023, Paris, France. IEEE, Piscataway, NJ, 62-70 DOI: 10.1109/ICCVW60793.2023.00013
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Robin Schön, Katja Ludwig and Rainer Lienhart. 2023. Impact of pseudo depth on open world object segmentation with minimal user guidance. In 2023 IEEE/CVF International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 17 2023 to June 24 2023, Vancouver, BC, Canada. IEEE, Piscataway, NJ, 4809-4819 DOI: 10.1109/CVPRW59228.2023.00509
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Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jegou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matias Nicolas Bossa, Abel Diaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken and Marie-Pierre Revel Dubios. in press. The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. preprint.
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Moritz Einfalt, Katja Ludwig and Rainer Lienhart. 2023. Uplift and upsample: efficient 3D human pose estimation with uplifting transformers. In Tamara Berg, Ryan Farrell, Eric Mortensen (Eds.). IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, USA, 2-7 January 2023. IEEE, Piscataway, NJ, 2902-2912 DOI: 10.1109/WACV56688.2023.00292
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2022

Sebastian Scherer, Stephan Brehm and Rainer Lienhart. 2022. Consistency regularization for unsupervised domain adaptation in semantic segmentation. Lecture Notes in Computer Science 13231, 500-511. DOI: 10.1007/978-3-031-06427-2_42
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Stephan Brehm, Florian Barthel and Rainer Lienhart. 2022. Controlling 3D objects in 2D image synthesis. SN Computer Science 4, 1, 48. DOI: 10.1007/s42979-022-01462-w
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Katja Ludwig, Philipp Harzig and Rainer Lienhart. 2022. Detecting arbitrary intermediate keypoints for human pose estimation with vision transformers. In Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, USA, January 4-8, 2022. IEEE, Piscataway, NJ, 663-671 DOI: 10.1109/WACVW54805.2022.00073
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Sebastian Scherer, Robin Schön and Rainer Lienhart. 2022. Pseudo-label noise suppression techniques for semi-supervised semantic segmentation. In 33rd British Machine Vision Conference 2022, BMVC 2022, London, UK, November 21-24, 2022, proceedings. BMVA Press, London, 829-832
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Katja Ludwig, Daniel Kienzle and Rainer Lienhart. 2022. Recognition of freely selected keypoints on human limbs. In Rama Chellappa, Jiri Matas, Long Quan, Mubarak Shah, Eric Mortensen (Eds.). 2022 IEEE/CVF International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), New Orleans, LA, USA, 19-24 June 2022. IEEE, Piscataway, NJ, 3530-3538 DOI: 10.1109/CVPRW56347.2022.00397
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Stephan Brehm, Sebastian Scherer and Rainer Lienhart. 2022. Semantically consistent image-to-image translation for unsupervised domain adaptation. In Ana Paula Rocha, Luc Steels, Jaap van den Herik (Eds.). ICAART 2022: Proceedings of the 14th International Conference on Agents and Artificial Intelligence, online streaming, 3-5 February 2022, volume 2. SciTePress, Setúbal, 131-141 DOI: 10.5220/0010786000003116
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Philipp Harzig, Moritz Einfalt and Rainer Lienhart. 2022. Synchronized audio-visual frames with fractional positional encoding for transformers in video-to-text translation. In Yannick Berthoumieu, Pascal Frossard, Giuseppe Valenzise, Thomas Maugey (Eds.). 2022 IEEE International Conference on Image Processing (ICIP), 16-19 October 2022, Bordeaux, France. IEEE, Piscataway, NJ, 2041-2045 DOI: 10.1109/ICIP46576.2022.9897804
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2021

Katja Ludwig, Sebastian Scherer, Moritz Einfalt and Rainer Lienhart. 2021. Self-supervised learning for human pose estimation in sports. In IEEE International Conference on Multimedia and Expo 2021 (ICME), 5-9 July 2021, Shenzhen, China. IEEE, Piscataway, NJ, 1-6 DOI: 10.1109/ICMEW53276.2021.9456000
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Sebastian Scherer, Robin Schön, Katja Ludwig and Rainer Lienhart. 2021. Unsupervised domain extension for nighttime semantic segmentation in urban scenes. In Ana Fred, Carlo Sansone and Kurosh Madani (Ed.). Proceedings of the 2nd International Conference on Deep Learning Theory and Applications (DeLTA 2021). SciTePress, Setúbal, 38-47. DOI: 10.5220/0010551500380047
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2020

Moritz Einfalt and Rainer Lienhart. 2020. Decoupling video and human motion: towards practical event detection in athlete recordings. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2020, Seattle, WA, USA, June 2020. IEEE, Piscataway, NJ, 3901-3910 DOI: 10.1109/CVPRW50498.2020.00454
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Nikolas Klug, Moritz Einfalt, Stephan Brehm and Rainer Lienhart. 2020. Error bounds of projection models in weakly supervised 3D human pose estimation. In 2020 International Conference on 3D Vision (3DV), Fukuoka, Japan, 25-28 November 2020. IEEE, Piscataway, NJ, 898-907 DOI: 10.1109/3DV50981.2020.00100
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Y. Tian, C. Snoek, J. Wang, Z. Liu, Rainer Lienhart and S. Boll. 2020. Guest editorial: multimedia computing with interpretable machine learning. IEEE Transactions on Multimedia 22, 7, 1661-1666. DOI: 10.1109/tmm.2020.2991292
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Stephan Brehm, Sebastian Scherer and Rainer Lienhart. 2020. High-resolution dual-stage multi-level feature aggregation for single image and video deblurring. In Terry Boult, Gerard Medioni, Ramin Zabih, Eric Mortensen and Margaux Masson (Ed.). 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 14-19 June 2020, Seattle, WA, USA. IEEE, Piscataway, NJ, 1872-1881. DOI: 10.1109/cvprw50498.2020.00237
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Stephan Brehm, Philipp Harzig, Moritz Einfalt and Rainer Lienhart. 2020. Learning segmentation from object color. In Jia Li and Shuyuan Zhu (Ed.). 2020 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 6-8 August 2020, Shenzhen, Guangdong, China. IEEE, Piscataway, NJ, 139-144. DOI: 10.1109/mipr49039.2020.00036
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Katja Ludwig, Moritz Einfalt and Rainer Lienhart. 2020. Robust estimation of flight parameters for ski jumpers. In Shuai Wan, Ce Zhu, Jian Zhang, Jianquan Liu, Shiwen Mao, Wen-Huang Cheng and Jiwen Lu (Ed.). IEEE International Conference on Multimedia and Expo 2020 (ICME), London, UK, 6-10 July 2020. IEEE, Piscataway, NJ, 1-6. DOI: 10.1109/ICMEW46912.2020.9105973
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Philipp Harzig, Moritz Einfalt, Katja Ludwig and Rainer Lienhart. 2020. Transforming Videos to Text (VTT Task) Team: MMCUniAugsburg. In TREC Video Retrieval Evaluation (TRECVID) 2020, virtual, 8-11 December 2020.
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2019

Philipp Harzig, Yan-Ying Chen, Francine Chen and Rainer Lienhart. 2019. Addressing data bias problems for chest x-ray image report generation. In 30th British Machine Vision Conference, 9 - 12 September 2019, Cardiff, UK.
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Philipp Harzig, Moritz Einfalt and Rainer Lienhart. 2019. Automatic disease detection and report generation for gastrointestinal tract examinations. In Laurent Amsaleg, Benoit Huet, Martha Larson, Guillaume Gravier, Hayley Hung, Chong-Wah Ngo and Wei Tsang Ooi (Ed.). MM '19: The 27th ACM International Conference on Multimedia, Nice, France, October, 2019. ACM Press, New York, NY, 2573-2577. DOI: 10.1145/3343031.3356066
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Moritz Einfalt, Rainer Lienhart, Matthew Lee and Lyndon Kennedy. 2019. Detecting speech impairments from temporal Visual facial features of aphasia patients. In IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 28 - 30 March 2019, San Jose, CA, USA. IEEE, Piscataway, NJ, 103-108. DOI: 10.1109/MIPR.2019.00026
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Moritz Einfalt, Charles Dampeyrou, Dan Zecha and Rainer Lienhart. 2019. Frame-level event detection in athletics videos with pose-based convolutional sequence networks. In Rainer Lienhart, Thomas B. Moeslund and Hideo Saito (Ed.). MM '19: The 27th ACM International Conference on Multimedia, Nice, France, October, 2019. ACM Press, New York, NY, 42-50. DOI: 10.1145/3347318.3355525
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Philipp Harzig, Dan Zecha, Rainer Lienhart, Carolin Kaiser and René Schallner. 2019. Image captioning with clause-focused metrics in a multi-modal setting for marketing. In IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 28 - 30 March 2019, San Jose, CA, USA. IEEE, Piscataway, NJ, 419-424. DOI: 10.1109/MIPR.2019.00085
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Dan Zecha, Moritz Einfalt, Christian Eggert and Rainer Lienhart. 2019. Kinematic pose rectification for performance analysis and retrieval in sports. In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 18 - 22 June 2018, Salt Lake City, UT, USA. IEEE, Piscataway, NJ, 1872-1880. DOI: 10.1109/CVPRW.2018.00232
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Guan-Ming Su, Chengcui Zhang, Haohong Wang, Min Chen, Mohan Kankanhalli and Rainer Lienhart. 2019. Pushing the boundary of multimedia big data: an overview of IEEE MIPR. IEEE MultiMedia 26, 2, 87-91. DOI: 10.1109/mmul.2019.2916957
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Dan Zecha, Moritz Einfalt and Rainer Lienhart. 2019. Refining joint locations for human pose tracking in sports videos. In Larry Davis, Philip Torr, Song-Chun Zhu, William Brendel and Mohamed R. Amer (Ed.). 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Long Beach, CA, USA, 16-17 June 2019. IEEE, Piscataway, NJ, 2524-2532. DOI: 10.1109/CVPRW.2019.00308
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2018

Dan Zecha, Christian Eggert, Moritz Einfalt, Stephan Brehm and Rainer Lienhart. 2018. A convolutional sequence to sequence model for multimodal dynamics prediction in ski jumps. In Proceedings of the 1st International Workshop on Multimedia Content Analysis in Sports - MMSports'18, October 26 - 26, 2018, Seoul, Republic of Korea. ACM Press, New York, USA, 11-19. DOI: 10.1145/3265845.3265855
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Moritz Einfalt, Dan Zecha and Rainer Lienhart. 2018. Activity-conditioned continuous human pose estimation for performance analysis of athletes using the example of swimming. In Anthony Hoogs, Simon McCloskey, Gérard Medioni, Kristin Dana, Tal Hasner, Xiaoming Liu and Rahul Sukthankar (Ed.). IEEE Winter Conference on Applications of Computer Vision (WACV), 12 - 15 March 2018, Lake Tahoe, NV, USA. IEEE, Piscataway, NJ, 446-455. DOI: 10.1109/wacv.2018.00055
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Rainer Lienhart, Moritz Einfalt and Dan Zecha. 2018. Mining automatically estimated poses from video recordings of top athletes. International Journal of Computer Science in Sport 17, 2, 94-112. DOI: 10.2478/ijcss-2018-0005
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Philipp Harzig, Stephan Brehm, Rainer Lienhart, Carolin Kaiser and Rene Schallner. 2018. Multimodal image captioning for marketing analysis. In IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 10-12 April 2018, Miami, FL, USA. IEEE, Piscataway, NJ, 158-161. DOI: 10.1109/mipr.2018.00035
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Philipp Harzig, Christian Eggert and Rainer Lienhart. 2018. Visual question answering with a hybrid convolution recurrent model. In Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval - ICMR '18, June 11 - 14, 2018, Yokohama, Japan. ACM Press, New York, USA, 318-325. DOI: 10.1145/3206025.3206054
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2017

Christian Eggert, Stephan Brehm, Anton Winschel, Dan Zecha and Rainer Lienhart. 2017. A closer look: small object detection in faster R-CNN. In IEEE International Conference on Multimedia and Expo (ICME), 10-14 July 2017, Hong Kong, China. IEEE, Piscataway, NJ, 421-426. DOI: 10.1109/icme.2017.8019550
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Christian Eggert, Dan Zecha, Stephan Brehm and Rainer Lienhart. 2017. Improving small object proposals for company logo detection. In Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval - ICMR '17, June 06 - 09, 2017, Bucharest, Romania. ACM Press, New York, USA, 167-174. DOI: 10.1145/3078971.3078990
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Dan Zecha, Christian Eggert and Rainer Lienhart. 2017. Pose estimation for deriving kinematic parameters of competitive swimmers. In Mustafa Jaber and Grigorios Tsagkatakis (Ed.). Computer Vision Applications in Sports: IS & T International Symposium on Electronic Imaging Science and Technology 2017, 29 January - 2 February 2017, Burlingame, California, USA. Curran Associates, Inc., Red Hook, NY
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2016

Christian Eggert, Anton Winschel, Dan Zecha and Rainer Lienhart. 2016. Saliency-guided selective magnification for company logo detection. In 23rd International Conference on Pattern Recognition (ICPR), 4 - 8 December 2016, Cancun, Mexico. IEEE, Piscataway, NJ, 651-656. DOI: 10.1109/icpr.2016.7899708
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Christian X. Ries, Fabian Richter and Rainer Lienhart. 2016. Towards automatic bounding box annotations from weakly labeled images. Multimedia Tools and Applications 75, 11, 6091-6118. DOI: 10.1007/s11042-014-2434-z
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2015

Alexander Schiendorfer, Christoph Lassner, Gerrit Anders, Wolfgang Reif and Rainer Lienhart. 2015. Active learning for model abstraction. In 3rd International Workshop on „Self-optimisation in Autonomic and Organic Computing Systems" (SAOS15), 24 - 27 March 2015, Porto, Portugal.
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Fabian Richter, Christian X. Ries and Rainer Lienhart. 2015. Evaluation of discriminative models for the reconstruction of hand-torn documents. In Daniel Cremers, Ian Reid, Hideo Saito and Ming-Hsuan Yang (Ed.). Computer Vision - ACCV 2014: 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014. Springer, Cham (Lecture Notes in Computer Science ; 9005) (Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 9005), 671-686. DOI: 10.1007/978-3-319-16811-1_44
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Fabian Richter, Christian Eggert and Rainer Lienhart. 2015. Fisher vector encoding of micro color features for (real world) jigsaw puzzles. In 13th International Conference on Document Analysis and Recognition (ICDAR), 23 - 26 August 2015, Tunis, Tunisia. IEEE, Piscataway, NJ, 521-525. DOI: 10.1109/icdar.2015.7333816
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Zheng-Jun Zha, Yan Liu, Shin’ichi Satoh, Xinguo Yu and Rainer Lienhart. 2015. Guest editorial: selected papers from ICIMCS 2012. Multimedia Systems 21, 3, 243-244. DOI: 10.1007/s00530-015-0461-x
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Dan Zecha and Rainer Lienhart. 2015. Key-pose prediction in cyclic human motion. In Bir Bhanu, Gerard Medioni, Rakesh (Teddy) Kumar and Dorin Comaniciu (Ed.). IEEE Winter Conference on Applications of Computer Vision, 5 - 9 January 2015, Waikoloa, HI, USA. IEEE, Piscataway, NJ, 86-93. DOI: 10.1109/wacv.2015.19
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Christoph Lassner and Rainer Lienhart. 2015. Norm-induced entropies for decision forests. In IEEE Winter Conference on Applications of Computer Vision, 5 - 9 January 2015, Waikoloa, HI, USA. IEEE, Piscataway, NJ, 968-975. DOI: 10.1109/wacv.2015.134
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Christian Eggert, Anton Winschel and Rainer Lienhart. 2015. On the benefit of synthetic data for company logo detection. In Proceedings of the 23rd ACM international conference on Multimedia - MM '15, October 26 - 30, 2015, Brisbane, Australia. ACM Press, New York, USA, 1283-1286. DOI: 10.1145/2733373.2806407
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Christoph Lassner and Rainer Lienhart. 2015. The fertilized forests decision forest library. In Proceedings of the 23rd ACM international conference on Multimedia - MM '15, October 26 - 30, 2015, Brisbane, Australia. ACM Press, New York, USA, 681-684. DOI: 10.1145/2733373.2807407
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2014

Christian X. Ries, Fabian Richter, Stefan Romberg and Rainer Lienhart. 2014. Automatic object annotation from weakly labeled data with latent structured SVM. In 12th International Workshop on Content-Based Multimedia Indexing (CBMI), 18-20 June 2014, Klagenfurt, Austria. IEEE, Piscataway, NJ, 1-4. DOI: 10.1109/cbmi.2014.6849838
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Dan Zecha and Rainer Lienhart. 2014. Bestimmung intrazyklischer Phasengeschwindigkeiten von Schwimmern im Schwimmkanal mittels vollautomatischer Videoanalyse. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2014-04. .
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Christian Eggert, Stefan Romberg and Rainer Lienhart. 2014. Improving VLAD: hierarchical coding and a refined local coordinate system. In IEEE International Conference on Image Processing (ICIP), 27 - 30 October 2014, Paris, France. IEEE, Piscataway, NJ, 3018-3022. DOI: 10.1109/icip.2014.7025610
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Fabian Richter, Christian X. Ries, Stefan Romberg and Rainer Lienhart. 2014. Partial contour matching for document pieces with content-based prior. In IEEE International Conference on Multimedia and Expo (ICME), 14 - 18 July 2014, Chengdu, China. IEEE, Piscataway, NJ, 1-6. DOI: 10.1109/icme.2014.6890237
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2013

Stefan Romberg and Rainer Lienhart. 2013. Bundle min-hashing for logo recognition. In Proceedings of the 3rd ACM conference on International conference on multimedia retrieval - ICMR '13, April 16 - 20, 2013, Dallas, Texas, USA. ACM Press, New York, USA, 113-120. DOI: 10.1145/2461466.2461486
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Stefan Romberg and Rainer Lienhart. 2013. Bundle min-hashing: speeded-up object retrieval. International Journal of Multimedia Information Retrieval 2, 4, 243-259. DOI: 10.1007/s13735-013-0040-x
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Fabian Richter, Christian X. Ries, Nicolas Cebron and Rainer Lienhart. 2013. Learning to reassemble shredded documents. IEEE Transactions on Multimedia 15, 3, 582-593. DOI: 10.1109/tmm.2012.2235415
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Christoph Lassner and Rainer Lienhart. 2013. Methods and applications for distance based ANN training. In 12th International Conference on Machine Learning and Applications, 4 - 7 December 2013, Miami, FL, USA. IEEE, Piscataway, NJ, 146-151. DOI: 10.1109/icmla.2013.120
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Christian X. Ries, Fabian Richter and Rainer Lienhart. 2013. Towards automatic object annotations from global image labels. In Proceedings of the 3rd ACM conference on International conference on multimedia retrieval - ICMR '13, April 16 - 20, 2013, Dallas, Texas, USA. ACM Press, New York, USA, 207-214. DOI: 10.1145/2461466.2461501
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2012

Christian X. Ries and Rainer Lienhart. 2012. A survey on visual adult image recognition. Multimedia Tools and Applications 69, 3, 661-688. DOI: 10.1007/s11042-012-1132-y
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Nicolas Cebron, Fabian Richter and Rainer Lienhart. 2012. Decision tree induction from counterexamples. In Pedro Latorre Carmona (Ed.). Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods, 6 - 8 February 2012, Vilamoura, Algarve, Portugal. SciTePress, 525-528. DOI: 10.5220/0003730405250528
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Christian X. Ries and Rainer Lienhart. 2012. Deriving a discriminative color model for a given object class from weakly labeled training data. In Proceedings of the 2nd ACM International Conference on Multimedia Retrieval - ICMR '12,June 05 - 08, 2012, Hong Kong, China. ACM Press, New York, USA, 44. DOI: 10.1145/2324796.2324848
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J. Schels, J. Liebelt and Rainer Lienhart. 2012. Learning an object class representation on a continuous viewsphere. In IEEE Conference on Computer Vision and Pattern Recognition, 16 - 21 June 2012, Providence, RI, USA. IEEE, Piscataway, NJ, 3170-3177. DOI: 10.1109/cvpr.2012.6248051
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Johannes Schels, Joerg Liebelt and Rainer Lienhart. 2012. Learning to Represent Multiple Object Classes on a Continuous Viewsphere. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2012-07. .
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Stefan Romberg, Rainer Lienhart and Eva Hörster. 2012. Multimodal image retrieval: fusing modalities with multilayer multimodal pLSA. International Journal of Multimedia Information Retrieval 1, 1, 31-44. DOI: 10.1007/s13735-012-0006-4
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Stefan Romberg, Moritz August, Christian X. Ries and Rainer Lienhart. 2012. Robust feature bundling. In Weisi Lin, Dong Xu, Anthony Ho, Jianxin Wu, Ying He, Jianfei Cai, Mohan Kankanhalli and Ming-Ting Sun (Ed.). Advances in Multimedia Information Processing – PCM 2012: 13th Pacific-Rim Conference on Multimedia, Singapore, December 4-6, 2012. Springer, Berlin (Lecture Notes in Computer Science ; 7674), 45-56. DOI: 10.1007/978-3-642-34778-8_5
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2011

Fabian Richter, Christian X. Ries and Rainer Lienhart. 2011. A Graph Algorithmic Framework for the Assembly of Shredded Documents. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2011-05. .
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Johannes Schels, Jorg Liebelt, Klaus Schertler and Rainer Lienhart. 2011. Building a semantic part-based object class detector from synthetic 3D models. In IEEE International Conference on Multimedia and Expo, 11 - 15 July 2011, Barcelona, Spain. IEEE, Piscataway, NJ, 1-6. DOI: 10.1109/icme.2011.6011850
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Thomas Greif, Debabrata Sengupta and Rainer Lienhart. 2011. Monocular 3D Human Pose Estimation by Classification. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2011-09. .
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Fabian Richter, Stefan Romberg, Eva Hörster and Rainer Lienhart. 2011. Multimodal Ranking for Image Search on Community Databases. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2011-07. .
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Stefan Romberg, Lluis Garcia Pueyo, Rainer Lienhart and Roelof van Zwol. 2011. Scalable logo recognition in real-world images. In Proceedings of the 1st ACM International Conference on Multimedia Retrieval - ICMR '11, April 18 - 20, 2011, Trento, Italy. ACM Press, New York, USA, 25. DOI: 10.1145/1991996.1992021
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Johannes Schels, Joerg Liebelt and Rainer Lienhart. 2011. Self-calibrating 3D context for retrieving people with luggage. In Zhengyou Zhang and Marc Pollefeys (Ed.). IEEE International Conference on Computer Vision Workshops (ICCV Workshops), 6 - 13 November 2011, Barcelona, Spain. IEEE, Piscataway, NJ, 1920-1927. DOI: 10.1109/iccvw.2011.6130483
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Dan Zecha, Thomas Greif and Rainer Lienhart. 2011. Swimmer detection and pose estimation for continuous stroke rate determination. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2011-13. Universität Augsburg, Augsburg.
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Johannes Schels, Jörg Liebelt, Klaus Schertler and Rainer Lienhart. 2011. Synthetically trained multi-view object class and viewpoint detection for advanced image retrieval. In Proceedings of the 1st ACM International Conference on Multimedia Retrieval - ICMR '11, April 18 - 20, 2011, Trento, Italy. ACM Press, New York, USA, 3. DOI: 10.1145/1991996.1991999
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Nicolas Cebron, Fabian Richter and Rainer Lienhart. 2011. Towards learning with complementary labels. In International Classification Conference (ICC), 11 - 15 July 2011, St. Andrews, Scotland.
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2010

Fabian Richter, Stefan Romberg, Eva Hörster and Rainer Lienhart. 2010. Leveraging community metadata for multimodal image ranking. Multimedia Tools and Applications 56, 1, 35-62. DOI: 10.1007/s11042-010-0554-7
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Ina Döhring and Rainer Lienhart. 2010. Mining TV broadcasts 24/7 for recurring video sequences. In Video Search and Mining. Springer, Berlin [u.a.] (Studies in Computational Intelligence ; 287), 327-356. DOI: 10.1007/978-3-642-12900-1_13
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Christian X. Ries, Stefan Romberg and Rainer Lienhart. 2010. Towards Universal Visual Vocabularies. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2010-05. .
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2009

Thomas Greif and Rainer Lienhart. 2009. A kinematic model for Bayesian tracking of cyclic human motion. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2009-16. .
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Thomas Greif and Rainer Lienhart. 2009. An annotated data set for pose estimation of swimmers. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2009-18. .
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Christian X. Ries and Rainer Lienhart. 2009. Automatic Pose Initialization of Swimmers in Videos. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2009-19. .
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Thomas Greif and Rainer Lienhart. 2009. Automatische Schwimmerverfolgung und Segmentierung. In Martin Lames, Claudia Augste, Christoph Dreckmann, Karsten Görsdorf and Malte Siegle (Ed.). Gegenstand und Anwendungsfelder der Sportinformatik: Symposium der dvs-Sektion Sportinformatik vom 22. - 24. Mai 2008 in Augsburg. Czwalina, Hamburg (Schriften der Deutschen Vereinigung für Sportwissenschaft ; 189), 183-188.
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Rainer Lienhart and Rudolf Hauke. 2009. Filtering adult image content with topic models. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2009-10. .
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Ina Döhring and Rainer Lienhart. 2009. Mining TV Broadcasts for Recurring Video Sequences. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2009-03. .
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Rainer Lienhart, Stefan Romberg and Eva Hörster. 2009. Multilayer pLSA for Multimodal Image Retrieval. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2009-02. .
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Stefan Romberg, Eva Hörster and Rainer Lienhart. 2009. Multimodal pLSA on Visual Features and Tags. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2009-09. .
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C. Gregor van den Boogaart and Rainer Lienhart. 2009. Note onset detection for the transcription of polyphonic piano music. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2009-11. .
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Eva Hörster and Rainer Lienhart. 2009. Optimal placement of multiple visual sensors. In Hamid K. Aghajan and Andrea Cavallaro (Ed.). Multi-camera networks: principles and applications. Academic Press, Burlington, MA, 117-138.
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2008

Eva Hörster, Rainer Lienhart and Malcolm Slaney. 2008. Continuous Visual Vocabulary Models for pLSA-Based Scene Recognition. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2008-05. .
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Thomas Greif, Eva Hörster and Rainer Lienhart. 2008. Correlated Topic Models for Image Retrieval. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2008-09. .
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Eva Hörster and Rainer Lienhart. 2008. Deep networks for image retrieval on large-scale databases. In Proceeding of the 16th ACM international conference on Multimedia - MM '08, October 26 - 31, 2008, Vancouver, British Columbia, Canada. ACM Press, New York, USA, 643-646. DOI: 10.1145/1459359.1459449
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Ina Döhring and Rainer Lienhart. 2008. Fast Frame-Accurate Mining for Repeating Video Clips. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2008-14. .
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Simon Hoffmann and Rainer Lienhart. 2008. OpenMP: eine Einführung in die parallele Programmierung mit C/C++. Springer, Berlin [u.a.] (Informatik im Fokus). DOI: 10.1007/978-3-540-73123-8
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Alan Hanjalic, Rainer Lienhart, Wei-Ying Ma and John R. Smith. 2008. The holy grail of multimedia information retrieval: so close or yet so far away?. Proceedings of the IEEE 96, 4, 541-547. DOI: 10.1109/jproc.2008.916338
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2007

Eva Hörster, Thomas Greif, Rainer Lienhart and Malcolm Slaney. 2007. Comparing Local Feature Descriptors in pLSA-Based Image Models. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2007-15. .
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Ina Dohring and Rainer Lienhart. 2007. Fast and effective features for recognizing recurring video clips in very large databases. In 14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007), 10 - 13 September 2007, Modena, Italy. IEEE, Piscataway, NJ, 65-70. DOI: 10.1109/iciapw.2007.26
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Eva Hörster and Rainer Lienhart. 2007. Fusing Local Image Descriptors for Large-Scale Image Retrieval. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2007-06. .
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Eva Hörster, Rainer Lienhart and Malcolm Slaney. 2007. Image Retrieval on Large-Scale Image Databases. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2007-05. .
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Rainer Lienhart and Malcolm Slaney. 2007. PLSA on large scale image databases. In IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 15 - 20 April 2007, Honolulu, HI, USA. IEEE, Piscataway, NJ, 1217-1220. DOI: 10.1109/icassp.2007.367295
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Eva Hörster, Jochen Lux and Rainer Lienhart. 2007. Recognizing persons in images by learning from videos. Multimedia Content Access: Algorithms and Systems 65060D. DOI: 10.1117/12.705200
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2006

Eva Hörster and Rainer Lienhart. 2006. Approximating Optimal Visual Sensor Placement. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2006-01. .
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C. Gregor van den Boogaart and Rainer Lienhart. 2006. Audio Brush: Smart Audio Editing in the Spectrogram. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2006-12. .
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C. G. v. d. Boogaart and Rainer Lienhart. 2006. Audio brush: a tool for computer-assisted smart audio editing. In Proceedings of the 1st ACM workshop on Audio and music computing multimedia - AMCMM '06, October 27 - 27 2006, Santa Barbara, California, USA. ACM Press, New York, USA, 115-124. DOI: 10.1145/1178723.1178741
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Eva Hörster and Rainer Lienhart. 2006. Calibrating and Optimizing Poses of Visual Sensors in Distributed Platforms. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2006-19. .
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Eva Hörster and Rainer Lienhart. 2006. Calibrating and optimizing poses of visual sensors in distributed platforms. Multimedia Systems 12, 3, 195-210. DOI: 10.1007/s00530-006-0057-6
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E. Horster, Rainer Lienhart, W. Kellermann and J.-Y. Bouguet. 2006. Calibrating visual sensors and actuators in distributed platforms. In Computer Vision for Interactive and Intelligent Environment (CVIIE'05), 17 - 18 November 2005, Lexington, KY, USA. IEEE, Piscataway, NJ, 39-50. DOI: 10.1109/cviie.2005.2
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Eva Hörster and Rainer Lienhart. 2006. On the Optimal Placement of Multiple Visual Sensors. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2006-18. .
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E. Hörster and Rainer Lienhart. 2006. On the optimal placement of multiple visual sensors. In Jake K. Aggarwal, Rita Cucchiara and Andrea Prati (Ed.). Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks - VSSN '06, October 2006, Santa Barbara, CA, USA. ACM Press, New York, NY, 111-120. DOI: 10.1145/1178782.1178800
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Rainer Lienhart, I. Kozintsev, D. Budnikov, I. Chikalov and V. C. Raykar. 2006. Providing common time and space in distributed AV-sensor networks by self-calibration. In Yap-Peng Tan, Kim Hui Yap and Lipo Wang (Ed.). Intelligent multimedia processing with soft computing. Springer, Berlin [u.a.] (Studies in Fuzziness and Soft Computing ; 168), 453-473. DOI: 10.1007/3-540-32367-8_21
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Rainer Lienhart and Eva Hörster. 2006. Results of the algorithm competition on foreground segmentation at VSSN06. In Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks - VSSN '06, October 27 - 27 2006, Santa Barbara, California, USA.
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2005

C. Gregor van den Boogaart and Rainer Lienhart. 2005. Audio Brush: Editing Audio in the Spectrogram. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2005-10. .
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Eva Hörster, Rainer Lienhart, Wolfgang Kellermann and Jean-Yves Bouguet. 2005. Calibration of Visual Sensors and Actuators in Distributed Computing Platforms. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2005-11. .
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C. Gregor van den Boogaart and Rainer Lienhart. 2005. Fast Gabor Transformation for processing high quality audio. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2005-21. .
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V.C. Raykar, I.V. Kozintsev and Rainer Lienhart. 2005. Position calibration of microphones and loudspeakers in distributed computing platforms. IEEE Transactions on Speech and Audio Processing 13, 1, 70-83. DOI: 10.1109/tsa.2004.838540
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Eva Hörster, Rainer Lienhart, Wolfgang Kellermann and Jean-Yves Bouguet. 2005. Precise Visibility Determination of Displays in Camera Images. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2005-12. .
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Bob Davies and Rainer Lienhart. 2005. Using Cart to Segment Road Images. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2005-18. .
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C. Gregor van den Boogaart and Rainer Lienhart. 2005. Visual Audio: An Interactive Tool for Analyzing and Editing of Audio in the Spectrogram. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2005-22. .
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2003

Rainer Lienhart and J. Maydt. 2003. An extended set of Haar-like features for rapid object detection. In Proceedings: International Conference on Image Processing, 22-25 Sept. 2002, Rochester, NY, USA. IEEE, Piscataway, NJ, I-900-I-903. DOI: 10.1109/icip.2002.1038171
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Rainer Lienhart, Alexander Kuranov and Vadim Pisarevsky. 2003. Empirical analysis of detection cascades of boosted classifiers for rapid object detection. Lecture Notes in Computer Science 2781, 297-304. DOI: 10.1007/978-3-540-45243-0_39
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Rainer Lienhart. 2003. Video OCR: a survey and practitioner's guide. In A. Rosenfeld, D. Doermann and D. DeMenthon (Ed.). Video Mining. Springer, Boston, MA (The Springer International Series in Video Computing ; 6), 155-183. DOI: 10.1007/978-1-4757-6928-9_6
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2002

Rainer Lienhart and A. Wernicke. 2002. Localizing and segmenting text in images and videos. IEEE Transactions on Circuits and Systems for Video Technology 12, 4, 256-268. DOI: 10.1109/76.999203
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1999

Rainer Lienhart. 1999. Comparison of automatic shot boundary detection algorithms. In Minerva M. Yeung, Boon-Lock Yeo and Charles A. Bouman (Ed.). Storage and Retrieval for Image and Video Databases VII. SPIE, Bellingham, WA (Proceedings of SPIE ; 3656), 290-301. DOI: 10.1117/12.333848
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1997

Rainer Lienhart, Silvia Pfeiffer and Wolfgang Effelsberg. 1997. Video abstracting. Communications of the ACM 40, 12, 54-62. DOI: 10.1145/265563.265572
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