Scene Classification for Baseball Videos Using Spatial and Temporal Features

DOI

10.2991/jcis.2006.270How to use a DOI?

Keywords

scene classification, baseball video

Abstract

Correct classification of various kinds of scenes in sport videos is essential for higher-level content analysis such as event detection. The paper presents a novel technique for the classification of the typical scenes of baseball videos. The spatial color features are employed to detect pitch scene first. The temporal features derived from a shot are utilized to classify infield and outfield scenes in the second stage. Simulation results indicate that high accuracy (more than 90 %) of classification is achieved.

Copyright

© 2006, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Mao-hsiung Hung
AU  - Chaur-Heh Hsieh
AU  - Ying-Chung Zhu
PY  - 2006/10
DA  - 2006/10
TI  - Scene Classification for Baseball Videos Using Spatial and Temporal Features
BT  - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.270
DO  - 10.2991/jcis.2006.270
ID  - Hung2006/10
ER  -