Title :
Video summarization using hidden Markov model
Author :
Huang, Chung-Lin ; Chang, Chih-Yu
Author_Institution :
Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
Abstract :
This paper proposes a system to analyze and summarize the video shots of the baseball game TV program into fifteen categories. The system consists of three modules: feature extraction, Hidden Markov Model (HMM) training, and video shot categorization
Keywords :
content-based retrieval; database indexing; feature extraction; hidden Markov models; multimedia databases; video databases; HMM training; baseball game TV program; content based retrieval; feature extraction; hidden Markov model; multimedia databases; video databases; video shot categorization; video shots; video summarization; Data mining; Equations; Feature extraction; Games; Gunshot detection systems; Hidden Markov models; Image motion analysis; Indexing; Motion estimation; Video sequences;
Conference_Titel :
Information Technology: Coding and Computing, 2001. Proceedings. International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
0-7695-1062-0
DOI :
10.1109/ITCC.2001.918841
