DocumentCode :
3457413
Title :
An Effective Shot Segmentation Algorithm Based on Color Feature of DC-Reduced Graph in Compressed-Domain
Author :
Zheng, Jinlong ; Zhang, Mingxin ; Zhao, Caiyun ; Shang, Zhaowei ; Shi, Lichun
Author_Institution :
Coll. of Comput. Sci. & Eng., Changshu Inst. of Technol., Changshu, China
fYear :
2010
fDate :
21-23 Oct. 2010
Firstpage :
1
Lastpage :
6
Abstract :
Shot segmentation is one of the most important steps for video analysis and retrieval. An effective shot segmentation algorithm is proposed by using DC-reduced graph which is on the basis of DC coefficients in I-Frames. This algorithm constructs the sequence of DC-reduced graph by DC coefficients in I-Frame firstly, and then the difference between two adjacent DC-reduced graphs is measured using color moments, spatial distribution entropy of colors and color-histogram. Finally, shot segmentation is achieved through selecting an appropriate threshold. The experiments show that the algorithm has efficiently improved the performance of shot detection, and to a certain extent, the complexity of the detection on gradual shot cuts is reduced.
Keywords :
feature extraction; graph theory; image colour analysis; image segmentation; video retrieval; DC coefficient; DC reduced graph; I-frame; color feature; color histogram; compressed domain; gradual shot cut; shot detection; shot segmentation algorithm; spatial distribution entropy; video analysis; video retrieval; Algorithm design and analysis; Color; Discrete cosine transforms; Image coding; Multimedia communication; Streaming media; Transform coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (CCPR), 2010 Chinese Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-7209-3
Electronic_ISBN :
978-1-4244-7210-9
Type :
conf
DOI :
10.1109/CCPR.2010.5659215
Filename :
5659215
Link To Document :
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