تقرير
Analytic Simplification of Neural Network based Intra-Prediction Modes for Video Compression
| العنوان: | Analytic Simplification of Neural Network based Intra-Prediction Modes for Video Compression |
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| المؤلفون: | Santamaria, Maria, Blasi, Saverio, Izquierdo, Ebroul, Mrak, Marta |
| المصدر: | 2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 6-10 July 2020, London, United Kingdom |
| سنة النشر: | 2020 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Machine Learning, Computer Science - Multimedia |
| الوصف: | 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. Comment: To apper in IEEE ICMEW 2020 |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1109/ICMEW46912.2020.9106027 |
| الوصول الحر: | http://arxiv.org/abs/2004.11056Test |
| رقم الانضمام: | edsarx.2004.11056 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1109/ICMEW46912.2020.9106027 |
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