A Multimedia Database System Using Dependence Weight Values for a Mobile Environment
This paper proposes a semantic-based video retrieval system that supports semantic-based retrieval of large-capacity video data in a mobile environment. The proposed system automatically extracts content information from video data and retrieves video data using an indexing agent. The indexing agent...
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| creator | Lee, Kwang Hyoung Kim, Hee Sook Lee, Keun Wang |
| description | This paper proposes a semantic-based video retrieval system that supports semantic-based retrieval of large-capacity video data in a mobile environment. The proposed system automatically extracts content information from video data and retrieves video data using an indexing agent. The indexing agent analyzes a user’s basic queries while extracting actual keywords from the queries. It then makes the meaning of key frame annotations more concrete through the use of dependence weight values. In addition, the indexing agent compares query images and database key frames through the use of the proposed binary-image histogram technique and retrieves the most similar key frame image that is displayed to the user. In the evaluation of a performance experiment, the proposed semantic-based video retrieval system shows higher retrieval performance than existing techniques in terms of scene retrieval from video data. |
| doi_str_mv | 10.1007/11424826_85 |
| format | Conference Proceeding |
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The proposed system automatically extracts content information from video data and retrieves video data using an indexing agent. The indexing agent analyzes a user’s basic queries while extracting actual keywords from the queries. It then makes the meaning of key frame annotations more concrete through the use of dependence weight values. In addition, the indexing agent compares query images and database key frames through the use of the proposed binary-image histogram technique and retrieves the most similar key frame image that is displayed to the user. 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The proposed system automatically extracts content information from video data and retrieves video data using an indexing agent. The indexing agent analyzes a user’s basic queries while extracting actual keywords from the queries. It then makes the meaning of key frame annotations more concrete through the use of dependence weight values. In addition, the indexing agent compares query images and database key frames through the use of the proposed binary-image histogram technique and retrieves the most similar key frame image that is displayed to the user. In the evaluation of a performance experiment, the proposed semantic-based video retrieval system shows higher retrieval performance than existing techniques in terms of scene retrieval from video data.</description><subject>Applied sciences</subject><subject>Binary Image</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>Mobile Client</subject><subject>Retrieval Accuracy</subject><subject>Retrieval Scheme</subject><subject>Video Data</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>9783540258612</isbn><isbn>3540258612</isbn><isbn>9783540258605</isbn><isbn>3540258604</isbn><isbn>9783540320449</isbn><isbn>354032044X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNpNkLlOAzEURc0mEUIqfsANBcXAe7ZncRklYZESUZBAObLHb4Jhlmg8QcrfExSEqG5xjm5xGLtCuEWA9A5RCZWJJM_iIzbSaSZjBVKAUvqYDTBBjKRU-uSPiThLUJyyAUgQkU6VPGcXIXwAgEi1GLDlmC-2Ve9rct7wqemNNYH4yy70VPNV8M2aT2lDjaOmIP5Gfv3e81dTbSnwsu244YvW-or4rPnyXdvU1PSX7Kw0VaDR7w7Z6n62nDxG8-eHp8l4Hm0E6j5KSBGYUit01pbaJTYGTFyWAkIBUktRxLEiKh1mylotlHWA0iiL0pWO5JBdH343JhSmKjvTFD7km87XptvlmGgNWsR77-bghT1q1tTltm0_Q46Q_2TN_2WV3_tfZG4</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Lee, Kwang Hyoung</creator><creator>Kim, Hee Sook</creator><creator>Lee, Keun Wang</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>IQODW</scope></search><sort><creationdate>2005</creationdate><title>A Multimedia Database System Using Dependence Weight Values for a Mobile Environment</title><author>Lee, Kwang Hyoung ; Kim, Hee Sook ; Lee, Keun Wang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p219t-6e4e0af941dbbf9d6b5016d87010c03932c554eefd184bb924bd013a4b13dfde3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Applied sciences</topic><topic>Binary Image</topic><topic>Computer science; control theory; systems</topic><topic>Exact sciences and technology</topic><topic>Mobile Client</topic><topic>Retrieval Accuracy</topic><topic>Retrieval Scheme</topic><topic>Video Data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Kwang Hyoung</creatorcontrib><creatorcontrib>Kim, Hee Sook</creatorcontrib><creatorcontrib>Lee, Keun Wang</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Kwang Hyoung</au><au>Kim, Hee Sook</au><au>Lee, Keun Wang</au><au>Gervasi, Osvaldo</au><au>Gavrilova, Marina L.</au><au>Taniar, David</au><au>Laganà, Antonio</au><au>Mun, Youngsong</au><au>Lee, Heow Pueh</au><au>Tan, Chih Jeng Kenneth</au><au>Kumar, Vipin</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A Multimedia Database System Using Dependence Weight Values for a Mobile Environment</atitle><btitle>Computational Science and Its Applications – ICCSA 2005</btitle><date>2005</date><risdate>2005</risdate><spage>798</spage><epage>805</epage><pages>798-805</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540258612</isbn><isbn>3540258612</isbn><isbn>9783540258605</isbn><isbn>3540258604</isbn><eisbn>9783540320449</eisbn><eisbn>354032044X</eisbn><abstract>This paper proposes a semantic-based video retrieval system that supports semantic-based retrieval of large-capacity video data in a mobile environment. The proposed system automatically extracts content information from video data and retrieves video data using an indexing agent. The indexing agent analyzes a user’s basic queries while extracting actual keywords from the queries. It then makes the meaning of key frame annotations more concrete through the use of dependence weight values. In addition, the indexing agent compares query images and database key frames through the use of the proposed binary-image histogram technique and retrieves the most similar key frame image that is displayed to the user. In the evaluation of a performance experiment, the proposed semantic-based video retrieval system shows higher retrieval performance than existing techniques in terms of scene retrieval from video data.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11424826_85</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Computational Science and Its Applications – ICCSA 2005, 2005, p.798-805 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_16990925 |
| source | Springer Books |
| subjects | Applied sciences Binary Image Computer science control theory systems Exact sciences and technology Mobile Client Retrieval Accuracy Retrieval Scheme Video Data |
| title | A Multimedia Database System Using Dependence Weight Values for a Mobile Environment |
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