Title :
Performance characterization of video-shot-change detection methods
Author :
Gargi, Ullas ; Kasturi, Rangachar ; Strayer, Susan H.
Author_Institution :
Dept. of Comput. Sci., Pennsylvania State Univ., University Park, PA, USA
fDate :
2/1/2000 12:00:00 AM
Abstract :
A number of automated shot-change detection methods for indexing a video sequence to facilitate browsing and retrieval have been proposed. Many of these methods use color histograms or features computed from block motion or compression parameters to compute frame differences. It is important to evaluate and characterize their performance so as to deliver a single set of algorithms that may be used by other researchers for indexing video databases. We present the results of a performance evaluation and characterization of a number of shot-change detection methods that use color histograms, block motion matching, or MPEG compressed data
Keywords :
content-based retrieval; data compression; database indexing; image retrieval; image sequences; signal detection; video coding; video databases; MPEG compressed data; algorithms; automated shot-change detection methods; block motion matching; block motion parameter; color histograms; compression parameter; digital video content; frame differences; performance characterization; performance evaluation; video browsing; video databases; video retrieval; video sequence indexing; video-shot-change detection methods; Cameras; Gunshot detection systems; Histograms; Indexing; Motion detection; Software libraries; Spatial databases; Transform coding; Video compression; Video sequences;
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on