Social multimedia is fundamentally changing how we communicate, interact, and collaborate in our daily lives. Recent advances in multimedia computing attract an increase in the research on multimedia content analysis, indexing and retrieval based on subjective concepts such as emotion, aesthetics, and preference. Different from the traditional content-based retrieval methods, the affective social media computing aims to process affective content from social multimedia. As the availability of massive and heterogeneous social media data, the problem becomes challenging because it requires multidisciplinary understanding of content and perceptional cues from social multimedia. From the multimedia perspective, research relies on the theoretical and technological findings in affective computing, machine learning, pattern recognition, signal/multimedia processing, computer vision, speech processing, behavior and social psychology. Affective analysis of social multimedia is attracting growing attention from industry and businesses that provide social networking sites, content-sharing services, distribute and host the media.
The first ASMMC workshop has been successfully held in Xi'an, China on September 21 2016. The second ASMMC workshop will come to Seattle, USA, as an affiliated workshop of International Conference on Multimedia and Expo (ICME2016), a flagship conference on Multimedia. This workshop focuses on the analysis of affective signals in social multimedia(e.g. twitter, weichat, weibo, youtube, facebook, etc). It seeks contributions on various aspects of affective computing in social multimedia on related theory, methodology, algorithms and techniques. We are inviting original submission to this workshop from topics of interest include, but are not restricted to:
• Affective/Emotional content analysis of images, videos, music, metadata (text, symbols, etc.),
• Affective indexing, ranking, and retrieval on big social media data,
• Affective computing in social multimedia by multimodal integration (face expression, gesture, posture, speech, text/language),
• Emotional implicit tagging and interactive systems,
• User interests and behavior modeling in social multimedia,
• Video and image summarization based on affect,
• Affective analysis of social media and harvesting the affective response of crowd,
• Affective generation in social multimedia, expressive text-to-speech and expressive language translation,
• Applications of affective social multimedia computing