Title :
Detection of the highlights in baseball video program
Author :
Shih, Huang-Chia ; Chung-Lin Huang
Author_Institution :
Inst. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu
Abstract :
The paper introduces a highlight detection method that consists of: (1) an inference scheme for semantic feature extraction; (2) a semantic highlight detection scheme using a multi-level semantic network (MSN). MSN is basically a Bayesian belief network (BBN) which consists of the low-level feature nodes connected to the mid-level semantic nodes and finally the high-level semantic nodes. A probabilistic structure can be combined by visual features and can be applied on highlight detection. Satisfactory results are shown
Keywords :
belief networks; feature extraction; image classification; semantic networks; sport; video signal processing; Bayesian belief network; baseball video program; feature nodes; inference scheme; multi-level semantic network; probabilistic structure; semantic feature extraction; semantic highlight detection scheme; semantic nodes; video indexing; visual features; Bayesian methods; Detection algorithms; Feature extraction; Gunshot detection systems; Hidden Markov models; High definition video; Indexing; Intelligent networks; Layout; TV;
Conference_Titel :
Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-8603-5
DOI :
10.1109/ICME.2004.1394262
