標題: Pattern-Based Near-Duplicate Video Retrieval and Localization on Web-Scale Videos
作者: Chou, Chien-Li
Chen, Hua-Tsung
Lee, Suh-Yin
資訊工程學系
Department of Computer Science
關鍵字: Near-duplicate video localization;near-duplicate video retrieval;video copy detection;web-scale video analysis
公開日期: 1-三月-2015
摘要: With the exponential growth of web multimedia contents, the Internet is rife with near-duplicate videos, the video copies applied with visual/temporal transformations and/or post productions. Two critical issues, copyright infringement and search result redundancy, arise accordingly. To resolve these problems, this paper proposes a spatiotemporal pattern-based approach under the hierarchical filter-and-refine framework for efficient and effective near-duplicate video retrieval and localization. Firstly, non-near-duplicate videos are fast filtered out through a computationally efficient data structure, termed pattern-based index tree (PI-tree). Then, an m-pattern-based dynamic programming (mPDP) algorithm is designed to localize near-duplicate segments and to re-rank the videos retrieved. The influence of time shift misalignment can be alleviated by time-shift m-pattern similarity (TPS) measurement. Comprehensive experiments on the five datasets are conducted to verify the effectiveness, efficiency, robustness, and scalability of the proposed approach. Convincing results demonstrate that our proposed approach outperforms the state-of-the-art approaches in terms of mean average precision (MAP) and normalized detection cost rate (NDCR) on the testing datasets. Furthermore, the proposed approach can achieve high quality of near-duplicate video localization in terms of quality frames (QF) and mean F1.
URI: http://dx.doi.org/10.1109/TMM.2015.2391674
http://hdl.handle.net/11536/124543
ISSN: 1520-9210
DOI: 10.1109/TMM.2015.2391674
期刊: IEEE TRANSACTIONS ON MULTIMEDIA
Volume: 17
起始頁: 382
結束頁: 395
顯示於類別:期刊論文