TY - GEN
T1 - The more the merrier
T2 - 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2015
AU - Dhall, Abhinav
AU - Joshi, Jyoti
AU - Sikka, Karan
AU - Goecke, Roland
AU - Sebe, Nicu
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/17
Y1 - 2015/7/17
N2 - The recent advancement of social media has given users a platform to socially engage and interact with a global population. With millions of images being uploaded onto social media platforms, there is an increasing interest in inferring the emotion and mood display of a group of people in images. Automatic affect analysis research has come a long way but has traditionally focussed on a single subject in a scene. In this paper, we study the problem of inferring the emotion of a group of people in an image. This group affect has wide applications in retrieval, advertisement, content recommendation and security. The contributions of the paper are: 1) a novel emotion labelled database of groups of people in images; 2) a Multiple Kernel Learning based hybrid affect inference model; 3) a scene context based affect inference model; 4) a user survey to better understand the attributes that affect the perception of affect of a group of people in an image. The detailed experimentation validation provides a rich baseline for the proposed database.
AB - The recent advancement of social media has given users a platform to socially engage and interact with a global population. With millions of images being uploaded onto social media platforms, there is an increasing interest in inferring the emotion and mood display of a group of people in images. Automatic affect analysis research has come a long way but has traditionally focussed on a single subject in a scene. In this paper, we study the problem of inferring the emotion of a group of people in an image. This group affect has wide applications in retrieval, advertisement, content recommendation and security. The contributions of the paper are: 1) a novel emotion labelled database of groups of people in images; 2) a Multiple Kernel Learning based hybrid affect inference model; 3) a scene context based affect inference model; 4) a user survey to better understand the attributes that affect the perception of affect of a group of people in an image. The detailed experimentation validation provides a rich baseline for the proposed database.
UR - http://www.scopus.com/inward/record.url?scp=84944936854&partnerID=8YFLogxK
U2 - 10.1109/FG.2015.7163151
DO - 10.1109/FG.2015.7163151
M3 - Conference contribution
T3 - 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2015
BT - 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2015
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 4 May 2015 through 8 May 2015
ER -