Automatic Happiness Strength Analysis of a Group of People using Facial Expressions
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2016 by IJCTT Journal|
|Year of Publication : 2016|
|Authors : Sagiri Prasanthi, Maddali M.V.M. Kumar|
|DOI : 10.14445/22312803/IJCTT-V34P127|
Sagiri Prasanthi, Maddali M.V.M. Kumar "Automatic Happiness Strength Analysis of a Group of People using Facial Expressions". International Journal of Computer Trends and Technology (IJCTT) V34(3):150-155, April 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
The latest improvement of social media has given users a stand to socially involve and interact with a higher population. Lakhs of videos, photos and group images are being uploaded daily by users on the web from different events and social gatherings. There is a collective concern in designing systems capability of under-standing human expressions of emotional attributes and affective displays. As images and videos from social events generally hold multiple subjects, it is an important step to study these sets of people. In this paper, we study the problem of happiness strength analysis of a set of people in a group image using facial expression analysis. A user awareness study is showed to understand several attributes, which affect a person’s awareness of the happiness strength of a group. We detect the difficulties in developing an automatic mood analysis system and propose model built on the attributes in the study. An in the wild image based database is gathered. To functional the methods, both quantitative and qualitative experiments are done and applied to the problem of shot selection, event summarization and album creation. The experiments illustration that the attributes defined in the paper provide useful information for theme expression analysis, with results close to human awareness results.
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Facial expression recognition, group mood, unconstrained conditions.