TR2004-060
Adaptive Fast Playback-Based Video Skimming Using a Compressed-Domain Visual Complexity Measure
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- "Adaptive Fast Playback-Based Video Skimming Using a Compressed-Domain Visual Complexity Measure", IEEE International Conference on Multimedia and Expo (ICME), June 2004.BibTeX TR2004-060 PDF
- @inproceedings{Peker2004jun,
- author = {Peker, K.A. and Divakaran, A.},
- title = {Adaptive Fast Playback-Based Video Skimming Using a Compressed-Domain Visual Complexity Measure},
- booktitle = {IEEE International Conference on Multimedia and Expo (ICME)},
- year = 2004,
- month = jun,
- url = {https://www.merl.com/publications/TR2004-060}
- }
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- "Adaptive Fast Playback-Based Video Skimming Using a Compressed-Domain Visual Complexity Measure", IEEE International Conference on Multimedia and Expo (ICME), June 2004.
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Research Area:
Digital Video
Abstract:
We present a novel compressed domain measure of spatio-temporal activity or visual complexity of a video segment. The visual complexity measure indicates how fast a video segment can be played within human perceptual limits. We present an adaptive "smart fast-forward" based video skimming method where the playback speed is varied based on the visual complexity. Alternatively, spatio-temporal smoothing is used to reduce visual complexity for an acceptable playback at a given playback speed. The complexity measure and the skimming method are based on early vision principles, thus they are applicable across a wide range of content type and applications. It is best suited for low temporal compression instant skims. It preserves the temporal continuity and eliminates the risk of missing an important event. It can be extended to include semantic inputs such as face or event detection, or can be a presentation end to semantic summarization.
Related News & Events
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NEWS ICME 2004: 5 publications by Anthony Vetro, Ajay Divakaran and Huifang Sun Date: June 27, 2004
Where: IEEE International Conference on Multimedia and Expo (ICME)
MERL Contacts: Anthony Vetro; Huifang SunBrief- The papers "Adaptive Fast Playback-Based Video Skimming Using a Compressed-Domain Visual Complexity Measure" by Peker, K.A. and Divakaran, A., "Effective and Efficient Sports Highlights Extraction Using the Minimum Description Length Criterion in Selecting GMM Structures" by Xiong, Z., Radhakrishnan, R., Divakaran, A. and Huang, T.S., "Time Series Analysis and Segmentation Using Eigenvectors for Mining Semantic Audio Label Sequences" by Radhakrishnan, R., Xiong, Z., Divakaran, A. and Memon, N., "Towards Maximizing the End-User Experience" by Divakaran, A., Vetro, A. and Kan, T. and "Coding Artifact Reduction Using Edge Map Guided Adaptive and Fuzzy Filter" by Kong, H.-S., Nie, Y., Vetro, A., Sun, H. and Barner, K.E. were presented at the IEEE International Conference on Multimedia and Expo (ICME).