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ICMCS
2006
IEEE

Learning-Based Interactive Video Retrieval System

13 years 9 months ago
Learning-Based Interactive Video Retrieval System
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.
Chi-Jiunn Wu, Hui-Chi Zeng, Szu-Hao Huang, Shang-H
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where ICMCS
Authors Chi-Jiunn Wu, Hui-Chi Zeng, Szu-Hao Huang, Shang-Hong Lai, Wen-Hao Wang
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