Movie analysis based on roles' social network

Chung Yi Weng, Wei Ta Chu, Ja Ling Wu

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

23 Citations (Scopus)

Abstract

Roles in a movie form a small society and their interrelationship provides clues for movie understanding. Based on this observation, we present a new viewpoint to perform semantic movie analysis. Through checking the co-occurrence of roles in different scenes, we construct a roles' social network to describe their relationships. We introduce the concept of social network analysis to elaborately identify leading roles and the hidden communities. With the results of community identification, we perform storyline detection that facilitates more flexible movie browsing and higher-level movie analysis. The experimental results show that the proposed community identification method is accurate and is robust to errors.

Original languageEnglish
Title of host publicationProceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007
PublisherIEEE Computer Society
Pages1403-1406
Number of pages4
ISBN (Print)1424410177, 9781424410170
DOIs
Publication statusPublished - 2007 Jan 1
EventIEEE International Conference onMultimedia and Expo, ICME 2007 - Beijing, China
Duration: 2007 Jul 22007 Jul 5

Publication series

NameProceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007

Other

OtherIEEE International Conference onMultimedia and Expo, ICME 2007
CountryChina
CityBeijing
Period07-07-0207-07-05

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Software

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