Automatic parsing and indexing of news video
Multimedia Systems
A feature-based algorithm for detecting and classifying scene breaks
Proceedings of the third ACM international conference on Multimedia
Automating the creation of a digital video library
Proceedings of the third ACM international conference on Multimedia
An automatic news video parsing, indexing and browsing system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Scene change detection techniques for video database systems
Multimedia Systems
Efficient and cost-effective techniques for browsing and indexing large video databases
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Automatic Video Database Indexing and Retrieval
Multimedia Tools and Applications
A visual search system for video and image databases
ICMCS '97 Proceedings of the 1997 International Conference on Multimedia Computing and Systems
Real time video data mining for surveillance video streams
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
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Shot boundary detection (SBD) is the first fundamental step to managing video databases. Existing automatic SBD techniques, however, are based on sequential search, and therefore too expensive for practical use. To address this problem, we investigate a non-linear approach in which most video frames do not need to be compared. It can improve their performance substantially. Our experiments show that this idea speeds up a conventional method based on color histograms up to 16 times (five times on average) while preserving the same accuracy.