2017多媒體和云研討會(huì)
2017-01-22 07:29:13
智能系統(tǒng)學(xué)報(bào) 2017年1期
2017多媒體和云研討會(huì)
Multimedia and the Cloud 2017
The proliferation of cloud computing and storage infrastructure as well cloud services provides a rich platform for multimedia researchers and developers to innovate new applications and services which would not have been possible before. For example, video streaming of high-definition content has now reached a fairly mature state. However, going forward we will only see an increase in multimedia applications which will require assistance from the cloud for multimedia processing and delivery. Examples include 3D content (stereo vision, 360� virtual reality), interactive content, server-assisted multi-party conferencing and gaming, and large-scale visual recognition. Microsoft Azure抯 Cognitive Services APIs and Google Cloud抯 Vision, Speech, and NLP APIs are just beginning to scratch the surface of what will be possible when multimedia meets the cloud. In addition, the proliferation of mobile devices which need assistance from the cloud for multimedia applications keeps increasing. In this workshop, we aim to provide a forum for research which includes both multimedia services (recognition, processing, coding, delivery) running in the cloud as well as multimedia applications which utilize them.
High quality research in all areas related to multimedia and the cloud are solicited. Potential topics of interest are the following.Cloud-assisted multimedia content ingestion, processing, coding, storage, and delivery；Multi-party conferencing and gaming；Interactive client-server multimedia applications；Cloud-assisted virtual reality and augmented reality applications；Multimedia recognition in the cloud and hybrid cloud/device recognition；Multimedia social applications and content sharing utilizing the cloud；Cloud resource management issues specific to multimedia；Privacy / access control for cloud hosted multimedia content；Multimedia big data processing in the cloud；Mobile multimedia cloud applications and stream analytics.
Website：http://icme2017-cloudmm.azurewebsites.net/main2.html
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