DocumentCode :
427034
Title :
Robust multi-level video representation using mean shift analysis
Author :
Gao, Hai ; Yu, Xiaodong ; Wang, Lei ; Xue, Ping ; Tian, Qi
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Volume :
1
fYear :
2004
fDate :
30-30 June 2004
Firstpage :
627
Abstract :
A robust method for multi-level video representation based on the mean shift analysis (MSA) of low-level visual features is proposed in this paper. By tuning the bandwidth of MSA, video representation from the coarse level to the fine level can be achieved. This representation form provides a flexible scheme for content-based video analysis such as summarization, classification, and retrieval. Compared with the conventional k-means or fuzzy c-means algorithms, our method can adjust the resolution of representation in a more straightforward way, and is more robust since it does not need to initialize the cluster centers
Keywords :
content-based retrieval; feature extraction; image classification; image representation; image retrieval; video signal processing; classification; content-based video analysis; low-level visual features; mean shift analysis; retrieval; robust multi-level video representation; summarization; Bandwidth; Clustering algorithms; Color; Content based retrieval; Indexing; Information retrieval; Iterative algorithms; Motion analysis; Robustness; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-8603-5
Type :
conf
DOI :
10.1109/ICME.2004.1394270
Filename :
1394270
Link To Document :
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