Dr. Regunathan Radhakrishnan Profile

Dr. Regunathan Radhakrishnan

at Dolby Labs Inc

SPIE Involvement:

Author

Proceedings Article | 4 February 2009 Paper

A review of video fingerprints invariant to geometric attacks

Regunathan Radhakrishnan, Wenyu Jiang, Claus Bauer

Proceedings Volume 7254, 725407 (2009) https://doi.org/10.1117/12.805627

KEYWORDS: Video, Feature extraction, Databases, Radon transform, Matrices, Video processing, Image filtering, Linear filtering, Visualization, Video compression

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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

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 | 14 March 2005 Paper

Systematic acquisition of audio classes for elevator surveillance

Regunathan Radhakrishnan, Ajay Divakaran

Proceedings Volume 5685, (2005) https://doi.org/10.1117/12.587814

KEYWORDS: Surveillance, Time series analysis, Video, Video surveillance, Feature extraction, Sensors, Data acquisition, Classification systems, Statistical analysis, Data modeling

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Proceedings Article | 17 January 2005 Paper

Modeling sports highlights using a time-series clustering framework and model interpretation

Regunathan Radhakrishnan, Isao Otsuka, Ziyou Xiong, Ajay Divakaran

Proceedings Volume 5682, (2005) https://doi.org/10.1117/12.588059

KEYWORDS: Data modeling, Mining, Modeling, Statistical analysis, Video, Multimedia, Statistical modeling, Target detection, Feature extraction, Matrices

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SPIE Journal Paper | 1 January 2005

On the security of the visual hash function

Regunathan Radhakrishnan, Ziyou Xiong, Nasir Memon

JEI, Vol. 14, Issue 01, 013011, (January 2005) https://doi.org/10.1117/12.10.1117/1.1867475

KEYWORDS: Visualization, Statistical analysis, Image processing, Multimedia, Signal processing, Image compression, Data modeling, Feature extraction, Statistical modeling, Error control coding

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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 | 18 December 2003 Paper

Audio-visual event detection based on mining of semantic audio-visual labels

King-Shy Goh, Koji Miyahara, Regunathan Radhakrishnan, Ziyou Xiong, Ajay Divakaran

Proceedings Volume 5307, (2003) https://doi.org/10.1117/12.524572

KEYWORDS: Video, Visualization, Curium, Databases, Televisions, Feature extraction, Mining, Video surveillance, Semantic video, Signal detection

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Proceedings Article | 26 November 2003 Paper

Investigation on effectiveness of mid-level feature representation for semantic boundary detection in news video

Regunathan Radhakrishan, Ziyou Xiong, Ajay Divakaran, Bhiksha Raj

Proceedings Volume 5242, (2003) https://doi.org/10.1117/12.514397

KEYWORDS: Video, Semantic video, Feature extraction, Optical tracking, Signal detection, Digital filtering, Speech recognition, Visualization, Machine learning, Systems modeling

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Proceedings Article | 20 June 2003 Paper

Security of the visual hash function

Regunathan Radhakrishnan, Ziyou Xiong, Nasir Memon

Proceedings Volume 5020, (2003) https://doi.org/10.1117/12.477340

KEYWORDS: Visualization, Multimedia, Statistical analysis, Image processing, Signal processing, Data modeling, Digital watermarking, Statistical modeling, Error control coding, Machine learning

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Proceedings Article | 10 January 2003 Paper

Procedure for audio-assisted browsing of news video using generalized sound recognition

Ajay Divakaran, Regunathan Radhakrishnan, Ziyou Xiong, Michael Casey

Proceedings Volume 5021, (2003) https://doi.org/10.1117/12.476294

KEYWORDS: Video, Feature extraction, Video compression, Optical tracking, Semantic video, Visualization, Databases, Computing systems, Digital filtering, Motion analysis

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Proceedings Article | 29 April 2002 Paper

Audio content authentication based on psycho-acoustic model

Regunathan Radhakrishnan, Nasir Memon

Proceedings Volume 4675, (2002) https://doi.org/10.1117/12.465266

KEYWORDS: Multimedia, Signal processing, Feature extraction, Linear filtering, Filtering (signal processing), Image compression, Digital watermarking, Receivers, Data modeling, Data hiding

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Proceedings Article | 19 December 2001 Paper

Data reduction procedure for principal cast and other talking head detection

Ajay Divakaran, Regunathan Radhakrishnan

Proceedings Volume 4676, (2001) https://doi.org/10.1117/12.451089

KEYWORDS: Head, Video, Facial recognition systems, Data modeling, Video compression, Feature extraction, Distance measurement, Video processing, Motion detection, Raster graphics

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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

Showing 5 of 14 publications

Conference Committee Involvement (7)

Media Watermarking, Security, and Forensics 2015

9 February 2015 | San Francisco, California, United States

Media Watermarking, Security, and Forensics 2014

3 February 2014 | San Francisco, California, United States

Media Watermarking, Security, and Forensics 2013

5 February 2013 | Burlingame, California, United States

Media Watermarking, Security, and Forensics 2012

23 January 2012 | Burlingame, California, United States

Media Watermarking, Security, and Forensics XIII

24 January 2011 | San Francisco Airport, California, United States

Showing 5 of 7 Conference Committees

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