標題: NEAR-DUPLICATE VIDEO RETRIEVAL BY USING PATTERN-BASED PREFIX TREE AND TEMPORAL RELATION FOREST
作者: Chou, Chien-Li
Chen, Hua-Tsung
Hsu, Chun-Chieh
Ho, Chien-Peng
Lee, Suh-Yin
資訊工程學系
Department of Computer Science
關鍵字: Near-duplicate video retrieval;video copy detection;pattern matching;prefix tree;video retrieval
公開日期: 1-Jan-2014
摘要: With the explosive growth of the social multimedia sharing, copyright protection and search result refinement are always the critical issues for the service operators. To resolve the problems, content-based near-duplicate video retrieval is developed in recent years. In this paper, we construct a condensed Pattern-based Prefix tree (PP-tree) to index the patterns of reference videos for fast retrieval. To calculate how likely a query video and a reference video are near-duplicates, a novel algorithm for discovering the temporal relations among patterns is proposed. Comprehensive experiments on public datasets are conducted to verify the effectiveness and efficiency of the proposed method. Experimental results show that the proposed near-duplicate video retrieval approach outperforms the state-of-the-art approaches in terms of precision, recall, and execution time.
URI: http://hdl.handle.net/11536/128626
ISBN: 978-1-4799-4761-4
ISSN: 1945-7871
期刊: 2014 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME)
Appears in Collections:Conferences Paper