Welcome to the ACM Multimedia Conference for 2016, the premier conference for multimedia experts and practitioners across academia and industry. The 2016 ACM Multimedia Conference will be held at the Theater Tuschinski in Amsterdam, The Netherlands from 15 – 19 October 2016.
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
10月15日
2016
10月19日
2016
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