DocumentCode :
652792
Title :
Context Based Facial Expression Analysis in the Wild
Author :
Dhall, Abhinav
Author_Institution :
Sch. of Comput. Sci., Australian Nat. Univ., Canberra, ACT, Australia
fYear :
2013
fDate :
2-5 Sept. 2013
Firstpage :
636
Lastpage :
641
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. The data extracted from movies carries with it rich meta-data information which will be useful for exploring the role of context in emotion recognition in the wild. For the analysis of groups of people various attributes effect the perception of mood. Study will be conducted and thorough literature survey will be performed on what are these contextual attributes. 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.
Keywords :
face recognition; feature extraction; image retrieval; computer vision; context based facial expression analysis; data extraction; image browsing; image retrieval; meta-data information; practical environments; real-world data; Analytical models; Context; Databases; Face; Mood; Motion pictures; Videos; Context based facial expression analysis; facial expression recognition in the wild;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Affective Computing and Intelligent Interaction (ACII), 2013 Humaine Association Conference on
Conference_Location :
Geneva
ISSN :
2156-8103
Type :
conf
DOI :
10.1109/ACII.2013.111
Filename :
6681502
Link To Document :
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