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arXiv · 2004.11056

Analytic Simplification of Neural Network based Intra-Prediction Modes for Video Compression

Maria Santamaria·Saverio Blasi·Ebroul Izquierdo·Marta Mrak
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Abstract

With the increasing demand for video content at higher resolutions, it is evermore critical to find ways to limit the complexity of video encoding tasks in order to reduce costs, power consumption and environmental impact of video services. In the last few years, algorithms based on Neural Networks (NN) have been shown to benefit many conventional video coding modules. But while such techniques can considerably improve the compression efficiency, they usually are very computationally intensive. It is highly beneficial to simplify models learnt by NN so that meaningful insights can be exploited with the goal of deriving less complex solutions. This paper presents two ways to derive simplified intra-prediction from learnt models, and shows that these streamlined techniques can lead to efficient compression solutions.

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Maria Santamaria, Saverio Blasi, Ebroul Izquierdo, Marta Mrak. 2020-04-23. Analytic Simplification of Neural Network based Intra-Prediction Modes for Video Compression. https://doi.org/10.1109/icmew46912.2020.9106027

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