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Versatile Video Coding (VVC): Machine Learning and Heuristics. 2022 ed.
・ISBN 978-3-031-11639-1 hard EUR 79.99
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| 著者・編者 | Saldanha, Mario / Sanchez, Gustavo / Marcon, Cesar / Agostini, Luciano, |
|---|---|
| シリーズ | (Synthesis Lectures on Engineering, Science, and Technology) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2022 |
| ページ数 | 123 pp. |
| 言語 | ENG |
| ニュース番号 | <A02-80016> |
解説
This book discusses the Versatile Video Coding (VVC), the ISO and ITU state-of-the-art video coding standard. VVC reaches a compression efficiency significantly higher than its predecessor standard (HEVC) and it has a high versatility for efficient use in a broad range of applications and different types of video content, including Ultra-High Definition (UHD), High-Dynamic Range (HDR), screen content, 360? videos, and resolution adaptivity. The authors introduce the novel VVC tools for block partitioning, intra-frame and inter-frames predictions, transforms, quantization, entropy coding, and in-loop filtering. The authors also present some solutions exploring VVC encoding behavior at different levels to accelerate the intra-frame prediction, applying statistical-based heuristics and machine learning (ML) techniques.