Finding Happiest Moments in a Social Context

Abhinav Dhall, Jyoti Dhall, Ibrahim Radwan, Roland Goecke

Research output: A Conference proceeding or a Chapter in BookConference contribution

19 Citations (Scopus)
2 Downloads (Pure)

Abstract

We study the problem of expression analysis for a group of people. Automatic facial expression analysis has seen much research in recent times. However, little attention has been given to the estimation of the overall expression theme conveyed by an image of a group of people. Specifically, this work focuses on formulating a framework for happiness intensity estimation for groups based on social context information. The main contributions of this paper are: a) defining automatic frameworks for group expressions; b) social features, which compute weights on expression intensities; c) an automatic face occlusion intensity detection method; and d) an ‘in the wild’ labelled database containing images having multiple subjects from different scenarios. The experiments show that the global and local contexts provide useful information for theme expression analysis, with results similar to human perception results.
Original languageEnglish
Title of host publication11th Asian Conference on Computer Vision
EditorsKyoung Mu Lee, Yasuyuki Matsushita, James M Rehg, Zhanyi Hu
Place of PublicationBerlin Heidelberg
PublisherSpringer
Pages613-626
Number of pages14
Volume7725
ISBN (Print)9783642374432
DOIs
Publication statusPublished - 2013
Event11th Asian Conference on Computer Vision - Daejeon, Daejeon, Korea, Republic of
Duration: 5 Nov 20129 Nov 2012

Conference

Conference11th Asian Conference on Computer Vision
CountryKorea, Republic of
CityDaejeon
Period5/11/129/11/12

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Dhall, A., Dhall, J., Radwan, I., & Goecke, R. (2013). Finding Happiest Moments in a Social Context. In K. M. Lee, Y. Matsushita, J. M. Rehg, & Z. Hu (Eds.), 11th Asian Conference on Computer Vision (Vol. 7725, pp. 613-626). Berlin Heidelberg: Springer. https://doi.org/10.1007/978-3-642-37444-9_48