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Enhancing multimedia search using human motion

Chapter


Abstract


  • Over the last few years, there has been an increase in the number of multimedia-enabled

    devices (e.g. cameras, smartphones, etc.) and that has led to a vast quantity of multimedia

    content being shared on the Internet. For example, in 2010 thirteen million hours of video

    uploaded to YouTube (http://www.youtube.com). To usefully navigate this vast amount of

    information, users currently rely on search engines, social networks and dedicated

    multimedia websites (such as YouTube) to find relevant content. Efficient search of large

    collections of multimedia requires metadata that is human-meaningful, but currently

    multimedia sites generally utilize metadata derived from user-entered tags and

    descriptions. These are often vague, ambiguous or left blank, which makes search for video

    content unreliable or misleading. Furthermore, a large majority of videos contain people,

    and consequently, human movement, which is often not described in the user entered

    metadata.

Publication Date


  • 2012

Citation


  • K. Adistambha, S. Davis, C. Ritz, I. S. Burnett & D. A. Stirling, "Enhancing multimedia search using human motion," in Multimedia - A Multidisciplinary Approach to Complex Issues, I. Karydis, Ed. Online: Intech, 2012, pp.161-174.

Book Title


  • Multimedia - A Multidisciplinary Approach to Complex Issues

Start Page


  • 161

End Page


  • 174

Abstract


  • Over the last few years, there has been an increase in the number of multimedia-enabled

    devices (e.g. cameras, smartphones, etc.) and that has led to a vast quantity of multimedia

    content being shared on the Internet. For example, in 2010 thirteen million hours of video

    uploaded to YouTube (http://www.youtube.com). To usefully navigate this vast amount of

    information, users currently rely on search engines, social networks and dedicated

    multimedia websites (such as YouTube) to find relevant content. Efficient search of large

    collections of multimedia requires metadata that is human-meaningful, but currently

    multimedia sites generally utilize metadata derived from user-entered tags and

    descriptions. These are often vague, ambiguous or left blank, which makes search for video

    content unreliable or misleading. Furthermore, a large majority of videos contain people,

    and consequently, human movement, which is often not described in the user entered

    metadata.

Publication Date


  • 2012

Citation


  • K. Adistambha, S. Davis, C. Ritz, I. S. Burnett & D. A. Stirling, "Enhancing multimedia search using human motion," in Multimedia - A Multidisciplinary Approach to Complex Issues, I. Karydis, Ed. Online: Intech, 2012, pp.161-174.

Book Title


  • Multimedia - A Multidisciplinary Approach to Complex Issues

Start Page


  • 161

End Page


  • 174