You are cordially invited to submit your latest research results to

MDPI Sensors special issue on “Machine Learning for Multimedia Communications”

Submission Deadine

15 April 2021

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Call For Papers

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Despite the recent advances of 5G and beyond systems and multimedia coding techniques, the increasing demand for ubiquitous delivery of high-quality multimedia data ranging from high resolution video to immersive applications including AR/VR/MR continues to pose significant challenges for existing multimedia coding techniques and communication platforms that struggle to deal with the stringent requirements for low latency, high bandwidth, and ultra reliability. Machine learning has recently attracted significant attention from the multimedia community as the key enabler towards designing and building more reliable, efficient, and scalable multimedia communication systems. This Special Issue will publish the latest research and findings in machine learning enabled multimedia coding and communication systems for improved resilience, efficient coding, and reduced latency.

Topics of interest include but are not limited to the following:

   Machine learning for image/video communications

   Machine learning for immersive communications

   Machine learning for resource allocation in multimedia communications

   Rate control for machine learning based video coding

   Machine learning for image/video coding

   Machine learning for network orchestration in multimedia applications

   Machine learning-based multimedia quality assessment

   Machine learning for multimedia enabled IoT

   Machine learning assisted cloud/edge/fog management for multimedia applications

Guest Editors

Nikolaos Thomos, University of Essex, UK

Eirina Bourtsoulatze, University of Essex, UK