Accio: A data set for face track retrieval in Movies across age

Esam Ghaleb, Makarand Tapaswi, Ziad Al-Halah, Hazim Kemal Ekenel, Rainer Stiefelhagen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Video face recognition is a very popular task and has come a long way. The primary challenges such as illumination, resolution and pose are well studied through multiple data sets. However there are no video-based data sets dedicated to study the effects of aging on facial appearance. We present a challenging face track data set, Harry Potter Movies Aging Data set (Accio1), to study and develop age invariant face recognition methods for videos. Our data set not only has strong challenges of pose, illumination and distractors, but also spans a period of ten years providing substantial variation in facial appearance. We propose two primary tasks: within and across movie face track retrieval; and two protocols which differ in their freedom to use external data. We present baseline results for the retrieval performance using a state-of-the-art face track descriptor. Our experiments show clear trends of reduction in performance as the age gap between the query and database increases. We will make the data set publicly available for further exploration in ageinvariant video face recognition.

Original languageEnglish (US)
Title of host publicationICMR 2015 - Proceedings of the 2015 ACM International Conference on Multimedia Retrieval
PublisherAssociation for Computing Machinery, Inc
Pages455-458
Number of pages4
ISBN (Electronic)9781450332743
DOIs
StatePublished - Jun 22 2015
Event5th ACM International Conference on Multimedia Retrieval, ICMR 2015 - Shanghai, China
Duration: Jun 23 2015Jun 26 2015

Publication series

NameICMR 2015 - Proceedings of the 2015 ACM International Conference on Multimedia Retrieval

Conference

Conference5th ACM International Conference on Multimedia Retrieval, ICMR 2015
Country/TerritoryChina
CityShanghai
Period6/23/156/26/15

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Software
  • Computer Vision and Pattern Recognition

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