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dc.contributor.authorChou, Chien-Lien_US
dc.contributor.authorChen, Hua-Tsungen_US
dc.contributor.authorChen, Yi-Chengen_US
dc.contributor.authorHo, Chien-Pengen_US
dc.contributor.authorLee, Suh-Yinen_US
dc.date.accessioned2015-07-21T08:31:07Z-
dc.date.available2015-07-21T08:31:07Z-
dc.date.issued2013-01-01en_US
dc.identifier.isbn978-1-4799-0015-2en_US
dc.identifier.issn1945-7871en_US
dc.identifier.urihttp://hdl.handle.net/11536/124953-
dc.description.abstractWith the exponential growth of the web multimedia contents, illegal video copies are widespread and easy to be obtained from search engines and video sharing websites. For video copyright protection, near-duplicate video retrieval becomes more and more important. In this paper, we proposed a Pattern Set based Dynamic Programming (PSDP) algorithm to retrieve near-duplicate videos efficiently and effectively. In addition, the precise positions of the near-duplicate segments in videos can also be located. To better deal with the slow/fast motion and the dropped frame problem, the Time-shift Pattern set Similarity (TPS) is then applied. Two datasets are used to evaluate the effectiveness and efficiency of the proposed method, and the experimental results show that the proposed method outperforms the compared approaches in terms of precision and execution time in both two datasets.en_US
dc.language.isoen_USen_US
dc.subjectNear-duplicate video retrievalen_US
dc.subjectvideo copy detectionen_US
dc.subjectvideo processingen_US
dc.subjectnear-duplicate video localizationen_US
dc.subjectcopyright protectionen_US
dc.titleNEAR-DUPLICATE VIDEO RETRIEVAL AND LOCALIZATION USING PATTERN SET BASED DYNAMIC PROGRAMMINGen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2013 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME 2013)en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000346507500195en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper