DocumentCode :
3499512
Title :
Vector quantization-based automatic shot boundary detection
Author :
Gomes, José Gabriel R C ; Carli, Marco ; Mitra, Sanjit K. ; Neri, Alessandro
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
fYear :
2002
fDate :
9-11 Dec. 2002
Firstpage :
216
Lastpage :
219
Abstract :
A compact video description is required to efficiently browse a multimedia database. A possible solution is the creation of a summary by using a set of frames (key frames) representing the content of each part of the video. To this end, a novel shot boundary detection method, based on a vector quantization approach, is presented. Experimental results show the effectiveness, in terms of computational cost and performance, of the proposed system.
Keywords :
content-based retrieval; feature extraction; image sequences; multimedia databases; vector quantisation; video coding; automatic shot boundary detection; compact video description; computational cost; key frames; multimedia database; system performance; vector quantization; Cameras; Computational efficiency; Data engineering; Density functional theory; Gunshot detection systems; Layout; Multimedia databases; Telephony; Vector quantization; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Signal Processing, 2002 IEEE Workshop on
Print_ISBN :
0-7803-7713-3
Type :
conf
DOI :
10.1109/MMSP.2002.1203285
Filename :
1203285
Link To Document :
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