Ring Fingerprint Based on Interest Points for Video Copy Detection
In the field of information security, assurance, copyright protection etc., content-based copy detection is more and more important, which consists of two technologies - fingerprint extraction and fingerprint matching. Fingerprints extracted from videos are mainly described as global video fingerpri...
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| creator | Guiguang Ding Rongxian Nie |
| description | In the field of information security, assurance, copyright protection etc., content-based copy detection is more and more important, which consists of two technologies - fingerprint extraction and fingerprint matching. Fingerprints extracted from videos are mainly described as global video fingerprints and local video fingerprints. To make best use of the advantages and bypass the disadvantages of different video fingerprints, we propose the ring fingerprint based on interest points and ordinal measure in this paper. A last we examine the proposed method with lots of experiments and discuss the performance of approaches. The experimental results also demonstrate the effectiveness of the proposed method for video copy detection. |
| doi_str_mv | 10.1109/ISM.2010.59 |
| format | Conference Proceeding |
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Fingerprints extracted from videos are mainly described as global video fingerprints and local video fingerprints. To make best use of the advantages and bypass the disadvantages of different video fingerprints, we propose the ring fingerprint based on interest points and ordinal measure in this paper. A last we examine the proposed method with lots of experiments and discuss the performance of approaches. 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The experimental results also demonstrate the effectiveness of the proposed method for video copy detection.</description><subject>Interest Points</subject><subject>Multimedia communication</subject><subject>Ring Fingerprint</subject><subject>Video Copy Detection</subject><isbn>1424486726</isbn><isbn>9781424486724</isbn><isbn>0769542174</isbn><isbn>9780769542171</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjj9PwzAUxI0QErR0YmTxF2h5fvGfeKSBQqQiEFSslZM8IyOIq9hLvz2Wyg13uhtOP8ZuBKyEAHvXfrysEEpT9ozNwGirJAojz9lMSJSy1gb1JVuk9A1FCo2s9BVbv4fxi2-K0XSYwpj52iUaeBx5O2aaKGX-FsueuI8T_wwDRd7Ew5E_UKY-hzheswvvfhIt_nPOdpvHXfO83L4-tc39dhks5GXvrdcWwHlRGzRAYMgKxK4XDmvhFIJBGDSIzlSeCi6pDpUka3EYgKo5uz3dBiLaF9ZfNx33Stuq1qr6A59AR9Q</recordid><startdate>201012</startdate><enddate>201012</enddate><creator>Guiguang Ding</creator><creator>Rongxian Nie</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201012</creationdate><title>Ring Fingerprint Based on Interest Points for Video Copy Detection</title><author>Guiguang Ding ; Rongxian Nie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-cf9f6900af187270e07e9122bc1a281a520720d601b73fe867e5b254e992dd0e3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Interest Points</topic><topic>Multimedia communication</topic><topic>Ring Fingerprint</topic><topic>Video Copy Detection</topic><toplevel>online_resources</toplevel><creatorcontrib>Guiguang Ding</creatorcontrib><creatorcontrib>Rongxian Nie</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEL</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Guiguang Ding</au><au>Rongxian Nie</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Ring Fingerprint Based on Interest Points for Video Copy Detection</atitle><btitle>2010 IEEE International Symposium on Multimedia</btitle><stitle>ism</stitle><date>2010-12</date><risdate>2010</risdate><spage>347</spage><epage>352</epage><pages>347-352</pages><isbn>1424486726</isbn><isbn>9781424486724</isbn><eisbn>0769542174</eisbn><eisbn>9780769542171</eisbn><abstract>In the field of information security, assurance, copyright protection etc., content-based copy detection is more and more important, which consists of two technologies - fingerprint extraction and fingerprint matching. Fingerprints extracted from videos are mainly described as global video fingerprints and local video fingerprints. To make best use of the advantages and bypass the disadvantages of different video fingerprints, we propose the ring fingerprint based on interest points and ordinal measure in this paper. A last we examine the proposed method with lots of experiments and discuss the performance of approaches. The experimental results also demonstrate the effectiveness of the proposed method for video copy detection.</abstract><pub>IEEE</pub><doi>10.1109/ISM.2010.59</doi><tpages>6</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Interest Points Multimedia communication Ring Fingerprint Video Copy Detection |
| title | Ring Fingerprint Based on Interest Points for Video Copy Detection |
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