Person spotting: video shot retrieval for face sets
<p>Matching people based on their imaged face is hard because of the well known problems of illumination, pose, size and expression variation. Indeed these variations can exceed those due to identity. Fortunately, videos of people have the happy benefit of containing multiple exemplars of each...
| Main Authors: | , , |
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| Format: | Conference item |
| Language: | English |
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Springer
2007
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| _version_ | 1826317231854714880 |
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| author | Sivic, J Everingham, M Zisserman, A |
| author_facet | Sivic, J Everingham, M Zisserman, A |
| author_sort | Sivic, J |
| collection | OXFORD |
| description | <p>Matching people based on their imaged face is hard because of the well known problems of illumination, pose, size and expression variation. Indeed these variations can exceed those due to identity. Fortunately, videos of people have the happy benefit of containing multiple exemplars of each person in a form that can easily be associated automatically using straightforward visual tracking. We describe progress in harnessing these multiple exemplars in order to retrieve humans automatically in videos, given a query face in a shot. There are three areas of interest: (i) the matching of sets of exemplars provided by “tubes” of the spatial-temporal volume; (ii) the description of the face using a spatial orientation field; and, (iii) the structuring of the problem so that retrieval is immediate at run time.</p>
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<p>The result is a person retrieval system, able to retrieve a ranked list of shots containing a particular person in the manner of Google. The method has been implemented and tested on two feature length movies.</p> |
| first_indexed | 2025-02-19T04:36:44Z |
| format | Conference item |
| id | oxford-uuid:b1aa113d-c141-4c2f-a652-ad6dcb8c84e8 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2025-02-19T04:36:44Z |
| publishDate | 2007 |
| publisher | Springer |
| record_format | dspace |
| spelling | oxford-uuid:b1aa113d-c141-4c2f-a652-ad6dcb8c84e82025-01-31T15:19:44ZPerson spotting: video shot retrieval for face setsConference itemhttp://purl.org/coar/resource_type/c_5794uuid:b1aa113d-c141-4c2f-a652-ad6dcb8c84e8EnglishSymplectic ElementsSpringer2007Sivic, JEveringham, MZisserman, A<p>Matching people based on their imaged face is hard because of the well known problems of illumination, pose, size and expression variation. Indeed these variations can exceed those due to identity. Fortunately, videos of people have the happy benefit of containing multiple exemplars of each person in a form that can easily be associated automatically using straightforward visual tracking. We describe progress in harnessing these multiple exemplars in order to retrieve humans automatically in videos, given a query face in a shot. There are three areas of interest: (i) the matching of sets of exemplars provided by “tubes” of the spatial-temporal volume; (ii) the description of the face using a spatial orientation field; and, (iii) the structuring of the problem so that retrieval is immediate at run time.</p> <br> <p>The result is a person retrieval system, able to retrieve a ranked list of shots containing a particular person in the manner of Google. The method has been implemented and tested on two feature length movies.</p> |
| spellingShingle | Sivic, J Everingham, M Zisserman, A Person spotting: video shot retrieval for face sets |
| title | Person spotting: video shot retrieval for face sets |
| title_full | Person spotting: video shot retrieval for face sets |
| title_fullStr | Person spotting: video shot retrieval for face sets |
| title_full_unstemmed | Person spotting: video shot retrieval for face sets |
| title_short | Person spotting: video shot retrieval for face sets |
| title_sort | person spotting video shot retrieval for face sets |
| work_keys_str_mv | AT sivicj personspottingvideoshotretrievalforfacesets AT everinghamm personspottingvideoshotretrievalforfacesets AT zissermana personspottingvideoshotretrievalforfacesets |