ACM Multimedia 2016 calls for full papers presenting novel theoretical and algorithmic solutions addressing problems across the domain of multimedia and related applications. The conference also calls for short papers presenting novel, thought-provoking ideas and promising (preliminary) results in realizing these ideas.

Submissions are invited in the following 15 topic areas grouped into 4 themes:

Systems

Research in multimedia systems is generally concerned with understanding fundamental tradeoffs between competing resource requirements, developing practical techniques and heuristics for realizing complex optimization and allocation strategies, and demonstrating innovative mechanisms and frameworks for building large-scale multimedia applications. Within this theme, we have focussed on four target topic areas:

Multimedia Transport and Delivery
Multimedia Systems and Middleware
Multimedia Telepresence and Virtual/Augmented Reality
Multimedia Scalability and Management
Mobile Multimedia
Experience

One of the core tenants of our research community is that multimedia data contributes to the user experience in a rich and meaningful manner. The topics organized under this theme are concerned with innovative uses of multimedia to enhance the user experience, how this experience is manifested in specific domains, and metrics for qualitatively and quantitatively measuring that experience in useful and meaningful ways. Specific topic areas addressed this year include:

Multimedia HCI and Quality of Experience
Music, Speech and Audio Processing in Multimedia
Multimedia Art, Entertainment and Culture
Multimedia for Collaboration in Education & Distributed Environments
Engagement

The engagement of multimedia with society as whole requires research that addresses how multimedia can be used to connect people with multimedia artifacts that meet their needs in a variety of contexts. The topic areas included under this theme include:

Emotional and Social Signals In Multimedia
Social Multimedia
Multimedia Search and Recommendation
Understanding

Multimedia data types by their very nature are complex and often involve intertwined instances of different kinds of information. We can leverage this multi-modal perspective in order to extract meaning and understanding of the world, often with surprising results. Specific topics addressed this year include:

Deep Learning for Multimedia
Multimodal Analysis and Description
Multimedia and Vision