On-the-fly specific person retrieval
We describe a method of visual search for finding people in large video datasets. The novelty is that the person of interest can be specified at run time by a text query, and a discriminative classifier for that person is then learnt on-the-fly using images downloaded from Google Image search. The p...
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creator | Parkhi, O. M. Vedaldi, A. Zisserman, A. |
description | We describe a method of visual search for finding people in large video datasets. The novelty is that the person of interest can be specified at run time by a text query, and a discriminative classifier for that person is then learnt on-the-fly using images downloaded from Google Image search. The performance of the method is evaluated on a ground truth dataset of episodes of Scrubs, and results are also shown for retrieval on the TRECVid 2011 IACC.1.B dataset of over 8k videos. The entire process from specifying the query to receiving the ranked results takes only a matter of seconds. |
doi_str_mv | 10.1109/WIAMIS.2012.6226775 |
format | Conference Proceeding |
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The entire process from specifying the query to receiving the ranked results takes only a matter of seconds.</description><subject>Detectors</subject><subject>Face</subject><subject>Facial features</subject><subject>Feature extraction</subject><subject>Google</subject><subject>Training</subject><subject>Vectors</subject><issn>2158-5873</issn><isbn>1467307912</isbn><isbn>9781467307918</isbn><isbn>9781467307901</isbn><isbn>1467307890</isbn><isbn>9781467307895</isbn><isbn>1467307904</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1j01LAzEURSMqWOv8gm5m4TZj3ktmkixL8WOg0oUFlyVJXzAy1iEZhP57C9bV5XLgci5jCxANgLAP7_3ytX9rUAA2HWKndXvBKqsNqE5Loa2AS3b7XwCv2AyhNbw1Wt6wqpRPIYQEY6zEGbvfHPj0QTwOx7qMFFJMoR4pl-9DnWnKiX7ccMeuoxsKVeecs-3T43b1wteb5361XPNkxcSDpEBWdgSE1u9jMKEj2drgtVBKBZLeKIdR6X1E505IUdBeQZQO_ElnzhZ_s4mIdmNOXy4fd-eP8hdIyENa</recordid><startdate>201205</startdate><enddate>201205</enddate><creator>Parkhi, O. 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M.</creatorcontrib><creatorcontrib>Vedaldi, A.</creatorcontrib><creatorcontrib>Zisserman, A.</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>IEEE Electronic Library (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>Parkhi, O. M.</au><au>Vedaldi, A.</au><au>Zisserman, A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>On-the-fly specific person retrieval</atitle><btitle>2012 13th International Workshop on Image Analysis for Multimedia Interactive Services</btitle><stitle>WIAMIS</stitle><date>2012-05</date><risdate>2012</risdate><spage>1</spage><epage>4</epage><pages>1-4</pages><issn>2158-5873</issn><isbn>1467307912</isbn><isbn>9781467307918</isbn><eisbn>9781467307901</eisbn><eisbn>1467307890</eisbn><eisbn>9781467307895</eisbn><eisbn>1467307904</eisbn><abstract>We describe a method of visual search for finding people in large video datasets. The novelty is that the person of interest can be specified at run time by a text query, and a discriminative classifier for that person is then learnt on-the-fly using images downloaded from Google Image search. 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subjects | Detectors Face Facial features Feature extraction Training Vectors |
title | On-the-fly specific person retrieval |
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