Call For Papers
We are in the era of social media. Visual understanding of social media content has attracted the interest of industrial and academic research communities from different domains. Visual under-standing of social media includes face and body tracking (e.g., facial expression analysis, face detection, gesture recognition), facial and body characteristic analysis (e.g., gait, age, gender, and ethnicity), human behavior understanding and emotion recognition from face and gesture, social context understanding (e.g., kinship, personality and beauty) and visual sentiment analysis. Cre-ating effective models under visual uncertainty has significant scientific and practical values in applications of human-computer interaction, social media analytics, video indexing, visual sur-veillance, and Internet vision. To that end, researchers have made substantial progress, especially when off-the-shelf vision products are available, e.g. Kinect, Leap, SHORE, and Affdex. However, great challenges still remain in the social media domain, especially under unconstrained imaging conditions from diverse sources with non-cooperative users.
This one-day serial workshop (AMFG2015) will provide a forum for researchers to review the recent progress of recognition, analysis and modeling of face, gesture, and body, and to discuss the challenges and perspectives particularly in the unconstrained environments, such as social media. The workshop will consist of one to two invited talks; one from industry, together with peer-reviewed regular papers (oral and poster). Original high-quality contributions are solicited on the following topics:
1. Internet-scale soft biometrics and profiling: age, gender, ethnicity, personality, kinship, occu-pation, beauty, and fashion classification by facial and/or body descriptor;
2. Motion analysis, tracking and extraction of face and body models from image sequences captured by mobile devices;
3. Detection and recognition of face and body in the wild with large 3D rotation, illumination change, partial occlusion, unknown/changing background, and aging; especially large 3D ro-tation robust face and gesture recognition;
4. Face, gait, and action recognition in low-quality (blurred for instance), or low-resolution video from fixed or mobile cameras;
5. Novel mathematical modeling and algorithms, sensors and modalities for face & body ges-ture/action representation, analysis and recognition for cross-domain social media;
6. Social/Psychological studies that can assist in understanding computational modeling and building better automated face and gesture systems for interaction purposes;
7. Novel social applications based on the robust detection, tracking and recognition of face, body and action;
8. Face and gesture analysis for sentiment analysis in social media.
9. Other applications of face and gesture analysis in social media content understanding.