TR2003-64
Framework for measurement of the intensity of motion activity of video segments
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- "Framework for Measurement of the Intensity of Motion Activity of Video Segments", Journal of Visual Communications and Image Representation, Vol. 14, No. 4, December 2003.BibTeX TR2003-64 PDF
- @article{Peker2003dec,
- author = {Peker, K.A. and Divakaran, A.},
- title = {Framework for Measurement of the Intensity of Motion Activity of Video Segments},
- journal = {Journal of Visual Communications and Image Representation},
- year = 2003,
- volume = 14,
- number = 4,
- month = dec,
- url = {https://www.merl.com/publications/TR2003-64}
- }
,
- "Framework for Measurement of the Intensity of Motion Activity of Video Segments", Journal of Visual Communications and Image Representation, Vol. 14, No. 4, December 2003.
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Research Area:
Digital Video
Abstract:
We present a psychophysical and analytical framework formotion activity descriptors computed from compressed domain block motion vectors. In the first analysis, we quantize the descriptors and show that they perform well against the ground truth. The MPEG-7 motion activity descriptor is also among the best performers. In the second analysis, we examine the specific cases where each descriptor fails, using a novel pair-wise comparison method. The analytical measures verestimate or underestimate the intensity of motion activity under strong camera motion or extreme camera angles. We finally discuss the experimental methodology and analysis methods we used, and possible alternatives. We review the applications of motion activity and how our results relate to them.
Related News & Events
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NEWS Journal of Visual Communications and Image Representation: publication by Ajay Divakaran and others Date: December 31, 2003
Where: Journal of Visual Communications and Image Representation
Research Area: Digital VideoBrief- The article "Framework for Measurement of the Intensity of Motion Activity of Video Segments" by Peker, K.A. and Divakaran, A. was published in Journal of Visual Communications and Image Representation.