Title :
Video object clustering segmentation
Author :
Lin, Qi ; Zhang, Xiong
Author_Institution :
Sch. of Comput., Beijing Univ. of Aeronaut. & Astronaut., China
Abstract :
We present a newly developed scheme for video object clustering, which combines a new structuring method with clustering technology to implement the video segmentation effectively. In this paper, we first introduce a method of video structuring, and application of clustering analysis in this area is discussed, then the technique for video segmentation using Hidden Markov Model is described at length, and followed by an experiment which confirms the effectiveness of the method.
Keywords :
feature extraction; hidden Markov models; image segmentation; pattern clustering; video signal processing; HMM; clustering analysis; clustering technology; hidden Markov model; video object clustering segmentation; video structuring; Application software; Content based retrieval; Feature extraction; Hidden Markov models; Image segmentation; Information retrieval; Information technology; Logic; Man machine systems; Videoconference;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1260040
