Title :
A novel approach to scene change detection using a cross entropy
Author :
Kim, Sang Hyun ; Park, Rae-Hong
Author_Institution :
Dept. of Electron. Eng., Sogang Univ., Seoul, South Korea
Abstract :
In huge video databases, an effective video indexing method is required. While manual indexing is the most effective approach to this goal, it is slow and expensive. Thus automatic indexing is desirable, and previously various indexing tools for video databases have been developed. For efficient video indexing and retrieval, the similarity measure is an important factor. This paper presents new similarity measures between frames and proposes a new algorithm to detect scene changes using a cross entropy defined between two histograms. Experimental results show that the proposed algorithm is fast and effective compared with several conventional algorithms to detect abrupt scene changes and gradual transitions including fade in/out and flash light scenes
Keywords :
database indexing; entropy; image recognition; video databases; video signal processing; abrupt scene change; automatic indexing; cross entropy; fade in/out; flash light scenes; frames; gradual transitions; histograms; scene change detection; similarity measure; video databases; video indexing method; Cameras; Change detection algorithms; Entropy; Gunshot detection systems; Histograms; Image databases; Image segmentation; Indexing; Layout; Video compression;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899611