Automatic face recognition for film character retrieval in feature-length films
The objective of this work is to recognize all the frontal faces of a character in the closed world of a movie or situation comedy, given a small number of query faces. This is challenging because faces in a feature-length film are relatively uncontrolled with a wide variability of scale, pose, illu...
Main Authors: | , |
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Format: | Conference item |
Language: | English |
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IEEE
2005
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_version_ | 1824458897562271744 |
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author | Arandjelović, O Zisserman, A |
author_facet | Arandjelović, O Zisserman, A |
author_sort | Arandjelović, O |
collection | OXFORD |
description | The objective of this work is to recognize all the frontal faces of a character in the closed world of a movie or situation comedy, given a small number of query faces. This is challenging because faces in a feature-length film are relatively uncontrolled with a wide variability of scale, pose, illumination, and expressions, and also may be partially occluded. We develop a recognition method based on a cascade of processing steps that normalize for the effects of the changing imaging environment. In particular there are three areas of novelty: (i) we suppress the background surrounding the face, enabling the maximum area of the face to be retained for recognition rather than a subset; (ii) we include a pose refinement step to optimize the registration between the test image and face exemplar; and (iii) we use robust distance to a sub-space to allow for partial occlusion and expression change. The method is applied and evaluated on several feature length films. It is demonstrated that high recall rates (over 92%) can be achieved whilst maintaining good precision (over 93%). |
first_indexed | 2025-02-19T04:33:11Z |
format | Conference item |
id | oxford-uuid:74dfefde-0f48-4fb1-a606-4c835521c57a |
institution | University of Oxford |
language | English |
last_indexed | 2025-02-19T04:33:11Z |
publishDate | 2005 |
publisher | IEEE |
record_format | dspace |
spelling | oxford-uuid:74dfefde-0f48-4fb1-a606-4c835521c57a2025-01-17T12:07:32ZAutomatic face recognition for film character retrieval in feature-length filmsConference itemhttp://purl.org/coar/resource_type/c_5794uuid:74dfefde-0f48-4fb1-a606-4c835521c57aEnglishSymplectic ElementsIEEE2005Arandjelović, OZisserman, AThe objective of this work is to recognize all the frontal faces of a character in the closed world of a movie or situation comedy, given a small number of query faces. This is challenging because faces in a feature-length film are relatively uncontrolled with a wide variability of scale, pose, illumination, and expressions, and also may be partially occluded. We develop a recognition method based on a cascade of processing steps that normalize for the effects of the changing imaging environment. In particular there are three areas of novelty: (i) we suppress the background surrounding the face, enabling the maximum area of the face to be retained for recognition rather than a subset; (ii) we include a pose refinement step to optimize the registration between the test image and face exemplar; and (iii) we use robust distance to a sub-space to allow for partial occlusion and expression change. The method is applied and evaluated on several feature length films. It is demonstrated that high recall rates (over 92%) can be achieved whilst maintaining good precision (over 93%). |
spellingShingle | Arandjelović, O Zisserman, A Automatic face recognition for film character retrieval in feature-length films |
title | Automatic face recognition for film character retrieval in feature-length films |
title_full | Automatic face recognition for film character retrieval in feature-length films |
title_fullStr | Automatic face recognition for film character retrieval in feature-length films |
title_full_unstemmed | Automatic face recognition for film character retrieval in feature-length films |
title_short | Automatic face recognition for film character retrieval in feature-length films |
title_sort | automatic face recognition for film character retrieval in feature length films |
work_keys_str_mv | AT arandjelovico automaticfacerecognitionforfilmcharacterretrievalinfeaturelengthfilms AT zissermana automaticfacerecognitionforfilmcharacterretrievalinfeaturelengthfilms |