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

Volume

1

fYear

2004

fDate

30-30 June 2004

Firstpage

595

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;

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.2004.1394262

Filename

1394262