Analyzing the Affect of a Group of People Using Multi-modal Framework

Preprint English OPEN
Huang, Xiaohua; Dhall, Abhinav; Liu, Xin; Zhao, Guoying; Shi, Jingang; Goecke, Roland; Pietikainen, Matti;
(2016)
  • Subject: Computer Science - Computer Vision and Pattern Recognition
Millions of images on the web enable us to explore images from social events such as a family party, thus it is of interest to understand and model the affect exhibited by a group of people in images. But analysis of the affect expressed by multiple people is challengin... View more
  • References (44)
    44 references, page 1 of 5

    [1] A. Dhall, A. Asthana, and R. Goecke, “Facial expression based automatic album creation,” in International Conference on Neutral Information Processing, Models and Applications, 2010, pp. 485-492.

    [2] T. Vandal, D. McDuff, and R. Kaliouby, “Event detection: ultra largescale clustering of facial expression,” in AFGR, 2015, pp. 1-8.

    [3] A. Dhall, R. Goecke, and T. Gedeon, “Automatic group happiness intensity analysis,” IEEE Trans. Affective Computing, vol. 6, no. 1, pp. 13-26, 2015.

    [4] S. Barsa¨de and D. Gibson, “Group emotion: A view from top and bottom,” Research on Managing in Group and Teams, vol. 1, pp. 81- 102, 1998.

    [5] J. Kelly and S. Barsa¨de, “Mood and emotions in small groups and work teams,” Organizational behavior and human decision processes, vol. 86, no. 1, pp. 99-130, 2001.

    [6] J. Hernandez, M. Hoque, W. Drevo, and R. Picard, “Mood meter: counting smiles in the wild,” in ACM Conference on Ubiquitous Computing, 2012, pp. 301-310.

    [7] A. Gallagher and T. Chen, “Understanding images of groups of people,” in ICCV, 2009, pp. 256-263.

    [8] A. Dhall, J. Joshi, I. Radwan, and R. Goecke, “Finding happiest moments in a social context,” in ACCV, 2012, pp. 613-626.

    [9] X. Huang, A. Dhall, G. Zhao, R. Goecke, and M. Pietika¨inen, “Rieszbased volume local binary pattern and a novel group expression model for group happiness intensity analysis,” in BMVC, 2015, pp. 1-9.

    [10] H. Meng and N. Bianchi-Berthouze, “Affective state level recognition in naturalistic facial and vocal expressions,” IEEE Trans. Cybernetics, vol. 44, no. 3, pp. 315-328, 2014.

  • Related Research Results (1)
  • Related Organizations (1)
  • Metrics
Share - Bookmark