Title :
A robust shot change detection method for content-based retrieval
Author :
Tsai, Tsung-Han ; Chen, Yung-Chien
Author_Institution :
Electr. Eng. Dept., Nat. Central Univ., Taoyuan, Taiwan
Abstract :
In this paper, a new approach that combines global and local information to detect shot boundary changes is proposed. For abrupt shot change detection, an adaptive threshold that is applied to histogram differences of a sliding window is used. To detect gradual shot changes such as fades and dissolves, we divide a selected frame into a fixed number of blocks and perform an analysis of block-wise histogram difference. Then, a statistical model imitating the gradual shot transition is proposed. Finally, the proposed algorithm is evaluated and shows good detection results.
Keywords :
content-based retrieval; feature extraction; image retrieval; multimedia databases; statistical analysis; video databases; abrupt shot change detection; adaptive threshold; block-wise histogram difference; content-based retrieval; dissolves; fades; global information; gradual shot changes; histogram differences; local information; robust shot change detection; shot boundary changes; sliding window; statistical model; Cameras; Content based retrieval; Gunshot detection systems; Histograms; Information retrieval; Layout; Multimedia systems; Robustness; Testing; Video sequences;
Conference_Titel :
Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
Print_ISBN :
0-7803-8834-8
DOI :
10.1109/ISCAS.2005.1465654