AMFG 2015 - AMFG Toward Extreme Face and Gesture Analysis

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.