Title
Detecting Video Shot Boundaries Up To 16 Times Faster
Keywords
Non-linear shot boundary detection; Shot boundary detection; Video data segmentation
Abstract
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.
Publication Date
12-1-2000
Publication Title
Proceedings of the ACM International Multimedia Conference and Exhibition
Number of Pages
385-387
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
0034440717 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0034440717
STARS Citation
Hua, K. A. and Oh, J. H., "Detecting Video Shot Boundaries Up To 16 Times Faster" (2000). Scopus Export 2000s. 731.
https://stars.library.ucf.edu/scopus2000/731