Efficient and reliable scene change detection in MPEG compressed video
Autor: | Tak-Song Chong, Oscar C. Au, Wing-San Chau, Tai-Wai Chan |
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Rok vydání: | 2005 |
Předmět: |
business.industry
Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Macroblock Signal compression Image processing Video processing Motion vector Motion estimation Metric (mathematics) Computer vision Artificial intelligence business Change detection ComputingMethodologies_COMPUTERGRAPHICS Image compression Data compression Block-matching algorithm |
Zdroj: | SPIE Proceedings. |
ISSN: | 0277-786X |
DOI: | 10.1117/12.632724 |
Popis: | This work presents a novel metric and a reliable algorithm for abrupt scene change detection. The new frame difference metric measures motion and content change across the video by using the motion vector and macroblock information in the MPEG compressed domain. With this new metric, a reliable scene change detection algorithm is discussed. Experimental results reveal that our scene change detection algorithm can successfully reduce the false alarms caused by local frame motion activity and at the same time increase the recall by amplifying the acceptance probability of the reliable scene change candidate. |
Databáze: | OpenAIRE |
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