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Machine learning and data-driven approaches have been playing a major role to enabling the future of multimedia broadcasting technologies with growing demands of new services, application with immersive and better quality of experience. Recent emerging artificial intelligent and machine learning technologies greatly encourage the creation of a more powerful image and video coding engine. Therefore, studying and deploying advanced artificial intelligent and machine learning tools for multimedia broadcasting in general and image/video compression are much important research topics for experts from not only academia but also industry.
In this context, this Special Session on Machine Learning for Multimedia Broadcasting aims to present the state-of-the-art research on the artificial intelligent and machine learning technologies for improving multimedia broadcasting as well as gather experts from both academia and industry to discuss and to share their innovative ideas.
Topics
Machine learning for multimedia broadcasting
Machine learning for wireless communications
Machine learning for resource allocation in a wireless network
Data-driven optimization for wireless network
Machine learning for the next generation image/ video coding
Machine learning for visual communication
3D TV communications
Light Field Coding
Point Cloud Representation and Coding
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