Dr. Kadir A. Peker Profile

Dr. Kadir A. Peker

Technical Staff Member at Mitsubishi Electric Research Labs

SPIE Involvement:

Author

Proceedings Article | 29 January 2007 Paper

Assessment of end-user response to sports highlights extraction for personal video recorders

Hal Shubin, Ajay Divakaran, Kent Wittenburg, Kadir Peker, Regunathan Radhakrishnan

Proceedings Volume 6506, 650605 (2007) https://doi.org/10.1117/12.713381

KEYWORDS: Video, Human-machine interfaces, Multimedia, Detection and tracking algorithms, Imaging systems, Electronic imaging, Digital recording

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Proceedings Article | 16 January 2006 Paper

Subjective assessment of consumer video summarization

Clifton Forlines, Kadir Peker, Ajay Divakaran

Proceedings Volume 6073, 60730J (2006) https://doi.org/10.1117/12.648554

KEYWORDS: Video, Televisions, Human-machine interfaces, Analytical research, Video surveillance, Multimedia, Document management, Consumer electronics, Control systems, Digital video discs

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Proceedings Article | 16 January 2006 Paper

Blind summarization: content-adaptive video summarization using time-series analysis

Ajay Divakaran, Regunathan Radhakrishnan, Kadir Peker

Proceedings Volume 6073, 607302 (2006) https://doi.org/10.1117/12.648419

KEYWORDS: Video, Video surveillance, Surveillance, Feature extraction, Sensors, Analytical research, Statistical analysis, Consumer electronics, Multimedia, Video processing

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Severe complexity constraints on consumer electronic devices motivate us to investigate general-purpose video summarization techniques that are able to apply a common hardware setup to multiple content genres. On the other hand, we know that high quality summaries can only be produced with domain-specific processing. In this paper, we present a time-series analysis based video summarization technique that provides a general core to which we are able to add small content-specific extensions for each genre. The proposed time-series analysis technique consists of unsupervised clustering of samples taken through sliding windows from the time series of features obtained from the content. We classify content into two broad categories, scripted content such as news and drama, and unscripted content such as sports and surveillance. The summarization problem then reduces to finding either finding semantic boundaries of the scripted content or detecting highlights in the unscripted content. The proposed technique is essentially an event detection technique and is thus best suited to unscripted content, however, we also find applications to scripted content. We thoroughly examine the trade-off between content-neutral and content-specific processing for effective summarization for a number of genres, and find that our core technique enables us to minimize the complexity of the content-specific processing and to postpone it to the final stage. We achieve the best results with unscripted content such as sports and surveillance video in terms of quality of summaries and minimizing content-specific processing. For other genres such as drama, we find that more content-specific processing is required. We also find that judicious choice of key audio-visual object detectors enables us to minimize the complexity of the content-specific processing while maintaining its applicability to a broad range of genres. We will present a demonstration of our proposed technique at the conference.

Proceedings Article | 25 October 2005 Paper

Browsing news and talk video on a consumer electronics platform using face detection

Kadir Peker, Ajay Divakaran, Tom Lanning

Proceedings Volume 6015, 601519 (2005) https://doi.org/10.1117/12.630953

KEYWORDS: Video, Facial recognition systems, Consumer electronics, Sensors, Cameras, Human-machine interfaces, Visualization, Semantic video, Image filtering, Digital video recorders

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Proceedings Article | 18 December 2003 Paper

Video mining using combinations of unsupervised and supervised learning techniques

Ajay Divakaran, Koji Miyahara, Kadir Peker, Regunathan Radhakrishnan, Ziyou Xiong

Proceedings Volume 5307, (2003) https://doi.org/10.1117/12.532786

KEYWORDS: Video, Video surveillance, Mining, Machine learning, Surveillance, Feature extraction, Digital video discs, Video processing, Data mining, Binary data

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Proceedings Article | 26 November 2003 Paper

An extended framework for adaptive playback-based video summarization

Kadir Peker, Ajay Divakaran

Proceedings Volume 5242, (2003) https://doi.org/10.1117/12.514742

KEYWORDS: Video, Visualization, Cameras, Facial recognition systems, Video surveillance, Motion measurement, Visual system, Motion detection, Sensors, Image segmentation

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Proceedings Article | 1 July 2002 Paper

Framework for measurement of the intensity of motion activity of video segments

Kadir Peker, Ajay Divakaran

Proceedings Volume 4862, (2002) https://doi.org/10.1117/12.473029

KEYWORDS: Video, Motion measurement, Error analysis, Video surveillance, Quantization, Cameras, Motion analysis, Image segmentation, Motion estimation, Statistical analysis

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Proceedings Article | 19 December 2001 Paper

Rapid generation of sports video highlights using the MPEG-7 motion activity descriptor

Kadir Peker, Romain Cabasson, Ajay Divakaran

Proceedings Volume 4676, (2001) https://doi.org/10.1117/12.451102

KEYWORDS: Video, Video compression, Motion measurement, Cameras, Visualization, Feature extraction, Head, Databases, Lithium, Digital filtering

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SPIE Journal Paper | 1 October 2001

Video summarization using descriptors of motion activity: a motion activity based approach to key-frame extraction from video shots

Ajay Divakaran, Regunathan Radhakrishnan, Kadir Peker

JEI, Vol. 10, Issue 04, (October 2001) https://doi.org/10.1117/12.10.1117/1.1406507

KEYWORDS: Video, Motion measurement, Visualization, Video surveillance, Nonuniform sampling, Feature extraction, Head, Video compression, Distance measurement, Cameras

Proceedings Article | 1 January 2001 Paper

Automatic measurement of intensity of motion activity of video segments

Kadir Peker, Ajay Divakaran, Thomas Papathomas

Proceedings Volume 4315, (2001) https://doi.org/10.1117/12.410944

KEYWORDS: Video, Video surveillance, Motion measurement, Quantization, Cameras, Error analysis, Motion analysis, Video compression, Semantic video, Analytical research

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Proceedings Article | 1 January 2001 Paper

Video summarization using motion descriptors

Ajay Divakaran, Kadir Peker, Huifang Sun

Proceedings Volume 4315, (2001) https://doi.org/10.1117/12.410963

KEYWORDS: Video, Video surveillance, Video compression, Optical filters, Digital filtering, Feature extraction, Data processing, Image segmentation, Sun, Databases

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Showing 5 of 11 publications

Conference Committee Involvement (2)

Multimedia Content Access: Algorithms and Systems

31 January 2007 | San Jose, CA, United States

Multimedia Content Analysis, Management, and Retrieval 2006

18 January 2006 | San Jose, California, United States

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