Learning-based interactive video retrieval system

Chi Jiunn Wu*, Hui Chi Zeng, Szu-Hao Huang, Shang Hong Lai, Wen Hao Wang

*此作品的通信作者

研究成果: Conference contribution同行評審

6 引文 斯高帕斯(Scopus)

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.

原文English
主出版物標題2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings
頁面1785-1788
頁數4
DOIs
出版狀態Published - 2006
事件2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Toronto, ON, Canada
持續時間: 9 7月 200612 7月 2006

出版系列

名字2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings
2006

Conference

Conference2006 IEEE International Conference on Multimedia and Expo, ICME 2006
國家/地區Canada
城市Toronto, ON
期間9/07/0612/07/06

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