Character relationship analysis in movies using face tracks

Yi I. Chiu, Pau Choo Chung, Chun Rong Huang

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

Abstract

In this paper, we propose using face tracks to model faces of the same character under variant head motions and scene illuminations. A novel measurement is developed to assess the similarity between two face tracks with different lengths. Then, based on temporal constraints, the character relationship graph of a movie is built. As shown in the experiments, our method can successfully retrieve character relationships from movies in real-time without any prior information or training.

Original languageEnglish
Title of host publicationProceedings of the 13th IAPR International Conference on Machine Vision Applications, MVA 2013
PublisherMVA Organization
Pages431-434
Number of pages4
ISBN (Print)9784901122139
Publication statusPublished - 2013 Jan 1
Event13th IAPR International Conference on Machine Vision Applications, MVA 2013 - Kyoto, Japan
Duration: 2013 May 202013 May 23

Publication series

NameProceedings of the 13th IAPR International Conference on Machine Vision Applications, MVA 2013

Conference

Conference13th IAPR International Conference on Machine Vision Applications, MVA 2013
CountryJapan
CityKyoto
Period13-05-2013-05-23

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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  • Cite this

    Chiu, Y. I., Chung, P. C., & Huang, C. R. (2013). Character relationship analysis in movies using face tracks. In Proceedings of the 13th IAPR International Conference on Machine Vision Applications, MVA 2013 (pp. 431-434). (Proceedings of the 13th IAPR International Conference on Machine Vision Applications, MVA 2013). MVA Organization.