Presentation | 2011-06-06 Mining Self-Similarity for Near-Duplicate Video Retrieval Zhipeng WU, Kiyoharu AIZAWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Nowadays, with the exponential growth of digital video sources such as video-sharing websites and online TV broadcasting, the high level of redundancy caused by overlapping or near-duplicate videos greatly degrades the user experience. The notion of near-duplicate denotes that these videos are not exactly identical but are approximately identical which might differ in various transformations such as photometric variations, editing operations. In this paper, we propose a self-similarity Matrix (SSM) based near-duplicate video analysis method. By mining the self-similarity, video is represented as a 2-dimension matrix, which is a more succinct and discriminative representation for 3-dimension spatio-temporal video volume. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Near-duplicate video retrieval / Self-similarity matrix / Content-based copy detection |
Paper # | DE2011-5,PRMU2011-36 |
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Committee | DE |
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Conference Date | 2011/5/30(1days) |
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Paper Information | |
Registration To | Data Engineering (DE) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Mining Self-Similarity for Near-Duplicate Video Retrieval |
Sub Title (in English) | |
Keyword(1) | Near-duplicate video retrieval |
Keyword(2) | Self-similarity matrix |
Keyword(3) | Content-based copy detection |
1st Author's Name | Zhipeng WU |
1st Author's Affiliation | Dept. of Information and Communication Eng., The University of Tokyo() |
2nd Author's Name | Kiyoharu AIZAWA |
2nd Author's Affiliation | Interfaculty Initiative in Information Studies, The University of Tokyo |
Date | 2011-06-06 |
Paper # | DE2011-5,PRMU2011-36 |
Volume (vol) | vol.111 |
Number (no) | 76 |
Page | pp.pp.- |
#Pages | 6 |
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