Learning-based interactive video retrieval system

被引：2

作者：

Wu, Chi-Jiunn ^{[1
]}

Zeng, Hui-Chi ^{[1
]}

Huang, Szu-Hao ^{[1
]}

Lai, Shang-Hong ^{[1
]}

Wang, Wen-Hao ^{[2
]}

机构：

[1] Natl Tsing Hua Univ, Dept Comp Sci, Hsinchu 30043, Taiwan

[2] ITRI, Hsinchu, Taiwan

来源：

2006 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO - ICME 2006, VOLS 1-5, PROCEEDINGS | 2006年

关键词：

D O I：

10.1109/ICME.2006.262898

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents an interactive video event retrieval system based on improved adaboost learning. This system consists of three main steps. Firstly, a long video sequence is partitioned into several video clips by using a distribution-based approach instead of detecting shot transition boundaries. Secondly, audiovisual features (i.e., color, motion and audio features) are extracted from video sequences for video clip representation. Finally, the modified AdaBoost learning algorithm is employed for interactive video retrieval with relevance feedback. This AdaBoost learning algorithm differs from conventional AdaBoost learning methods mainly in the selection of paired video features for the weak classifiers. Experimental results show improved performance of video retrieval by using the proposed system.

引用

下载

页码：1785 / 1788

页数：4

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