Title :
A new video retrieval approach based on clustering
Author :
Lei, Zhen ; Wu, Ling-Da ; Lao, Song-Yang ; Wang, Gang ; Wang, Chen
Author_Institution :
Key Lab. of Inf. Syst. Eng., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
The shot based clustering and retrieval is very important for video database organization and access. We can take advantage of semantic clustering to enhance the performance of traditional content-based video retrieval. In this paper, text feature and color feature are first extracted directly from shots. Subsequently, a two-level hierarchical clustering structure that provides indexing scheme for retrieval is constructed by incorporating text and color features. The top level is clustered by text features while the bottom level is clustered by color features. The constructed structure is then used for the cluster-based retrieval. The effectiveness and efficiency of our approach are demonstrated by the experimental results in retrieving and ranking similar video shots.
Keywords :
content-based retrieval; data mining; database indexing; feature extraction; pattern clustering; statistical analysis; text analysis; video databases; cluster based retrieval; color feature extraction; content based video retrieval; data mining; indexing scheme; semantic clustering; text feature extraction; video database access; video database organization; video retrieval method; video shot based clustering; video shot based retrieval; Automatic speech recognition; Bridges; Content based retrieval; Data mining; Feature extraction; Information analysis; Information retrieval; Spatial databases; Speech analysis; Videoconference;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1382055