TR2009-001
Discriminative Genre-Independent Audio-Visual Scene Change Detection
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- "Discriminative Genre-Independent Audio-Visual Scene Change Detection", SPIE Conference on Multimedia Content Access: Algorithms and Systems, January 2009, vol. 7255,.BibTeX TR2009-001 PDF
- @inproceedings{Wilson2009jan,
- author = {Wilson, K.W. and Divakaran, A.},
- title = {Discriminative Genre-Independent Audio-Visual Scene Change Detection},
- booktitle = {SPIE Conference on Multimedia Content Access: Algorithms and Systems},
- year = 2009,
- volume = {7255,},
- month = jan,
- url = {https://www.merl.com/publications/TR2009-001}
- }
,
- "Discriminative Genre-Independent Audio-Visual Scene Change Detection", SPIE Conference on Multimedia Content Access: Algorithms and Systems, January 2009, vol. 7255,.
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Research Areas:
![TR Image](/publications/images/TR2009-001.png)
Abstract:
We present a technique for genre-independent scene-change detection using audio and video features in a discriminative support vector machines (SVM) framework. This work builds on our previous work by adding a video feature based on the MPEG-7 "scalable color" descriptor. Adding this feature imporoves our detection rate over all genres by 5% to 15% for a fixed false positive rate of 10%. We also find that the genres that benefit the most are those with which the previous audio-only was least effective.
Related News & Events
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NEWS SPIE Conference on Multimedia Content Access: Algorithms and Systems 2009: publication by MERL researchers and others Date: January 21, 2009
Where: SPIE Conference on Multimedia Content Access: Algorithms and Systems
Research Area: Data AnalyticsBrief- The paper "Discriminative Genre-Independent Audio-Visual Scene Change Detection" by Wilson, K.W. and Divakaran, A. was presented at the SPIE Conference on Multimedia Content Access: Algorithms and Systems.