Content Gazette - October 2020 - 17

Call for Papers-IEEE Open Journal of Signal Processing
Special Issue on
Applied Artificial Intelligence and Machine Learning for Video Coding and Streaming
Please note that IEEE Open Journal of Signal Processing (OJSP) is a Gold Open Access journal, however, open access fees for papers accepted in this Special
Issue will be waived; i.e. accepted papers will be published free of charge.
Scope:
Video traffic constituted 75% of all IP traffic in 2017 and will constitute 82% of all IP traffic by 2022. Improving video co ding methods and video
networking schemes is therefore vital to cope with this increasing demand. In recent years, we have witnessed how Artificial Intelligence (AI) and
Machine Learning (ML) revolutionized the field of video coding and streaming as these new solutions now offer state-of-the-art in many high-level
and low-level image and video related tasks. A range of Convolutional Neural Networks (CNN)-based video coding tools (rate-distortion optimization,
deblocking filters, interpolation filters, chroma from luma prediction methods), learned entropy coding, end-to-end image compression techniques,
decision trees based encoder speed ups, fuzzy network bandwidth prediction, and video network resource allocation via reinforcement learning are
among these efforts. MPEG Ad Hoc Group on deep neural networks based video coding and JPEG's learning-based image coding activity, are among
recent initiatives which show that significant effort is required to advance this field and overcome the existing challenges such a s improving the
compression efficiency, lowering the overhead of computations of these AI/ML tools, finding suitable loss functions and optimization criteria,
managing network resource according to user experience, accurately predicting network status, and working towards explainable AI. As both
academic and industry efforts in this direction have been increasing tremendously, this is the right time to focus on this topic.
For this Special Issue, we invite submissions of papers from the academia and the industry reporting on the latest scientific and engineering results
and findings in applying AI and ML to video coding and steaming. Topics of interest include, but are not limited to:
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Towards applicable end-to-end learned image/video compression
Interpretability and explainability of learned models for video compression
Low complexity, energy efficient, and memory efficient AI/ML for image/video coding
Distance metrics and optimization criteria for AI/ML-based compression techniques
Standard-compliant techniques to integrate AI/ML into video coding and streaming
Generative models for video compression and enhancement of compressed video
Pre/post processing AI/ML techniques to enhance image/video coding
AI/ML-based video saliency detection and coding
AI/ML-based network resource prediction and content adaptation for video streaming
AI/ML-based solutions for co-optimization of network and video coding
Smart network resource allocation for video streaming services
AI/ML-based video traffic classification and prediction for video communication
AI/ML-based video quality assessment, and QoE estimation for video streaming
Real-time AI/ML-based video enhancement for efficient video coding
ML-based packet video network fault detection, isolation, and diagnosis

Deadlines:
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Initial Paper Submission:
Initial Paper Decision:
Revised Paper Submission:
Final Decision:

December 15, 2020
January 30, 2021
March 1, 2021
March 15, 2021

Submission:
Please follow IEEE OJSP's paper format and requirements. Once your paper is ready, please submit it via IEEE OJSP's submission site
https://mc.manuscriptcentral.com/oj-sp, and be sure to select this Special Issue when submitting. For more information, please contact the lead
Guest Editor Dr. Marta Mrak at marta.mrak@bbc.co.uk.
Guest Editors:
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Marta Mrak, BBC R&D, UK
Mahmoud Reza Hashemi, University of Tehran, Iran
Shervin Shirmohammadi, University of Ottawa, Canada
Ying Chen, Alibaba Cloud Intelligence Group, US
Moncef Gabbouj, Tampere University, Finland

IEEE Signal Processing Society * 445 Hoes Lane * Piscataway, NJ 08854, USA
signalprocessingsociety.org

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Content Gazette - October 2020

Table of Contents for the Digital Edition of Content Gazette - October 2020
