Expression analysis in the wild: From individual to groups

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2 Citations (Scopus)

Abstract

With the advances in the computer vision in the past few years, analysis of human facial expressions has gained attention. Facial expression analysis is now an active field of research for over two decades now. However, still there are a lot of questions unanswered. This project will explore and devise algorithms and techniques for facial expression analysis in practical environments. Methods will also be developed for inferring the emotion of a group of people. The central hypothesis of the project is that close to real-world data can be extracted from movies and facial expression analysis on movies is a stepping stone for moving to analysis in the real-world. For the analysis of groups of people various attributes effect the perception of mood. A system which can classify the mood of a group of people in videos will be developed and will be used to solve the problem of efficient image browsing and retrieval based on emotion.

Original languageEnglish
Title of host publicationICMR 2013 - Proceedings of the 3rd ACM International Conference on Multimedia Retrieval
Pages325-328
Number of pages4
DOIs
Publication statusPublished - 15 May 2013
Externally publishedYes
EventACM International Conference on Multimedia Retrieval 2013 - Dallas, United States of America
Duration: 16 Apr 201320 Apr 2013
Conference number: 3rd
https://dl.acm.org/doi/proceedings/10.1145/2461466?tocHeading=heading7

Publication series

NameICMR 2013 - Proceedings of the 3rd ACM International Conference on Multimedia Retrieval

Conference

ConferenceACM International Conference on Multimedia Retrieval 2013
Abbreviated titleICMR 2013
CountryUnited States of America
CityDallas
Period16/04/1320/04/13
Internet address

Keywords

  • expression analysis in the wild
  • group mood analysis

Cite this

Dhall, A. (2013). Expression analysis in the wild: From individual to groups. In ICMR 2013 - Proceedings of the 3rd ACM International Conference on Multimedia Retrieval (pp. 325-328). (ICMR 2013 - Proceedings of the 3rd ACM International Conference on Multimedia Retrieval). https://doi.org/10.1145/2461466.2461529