von Mário Saldanha Gustavo Sanchez César Marcon Luciano Agostini
Machine Learning and Heuristics
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Beschreibung
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, 360º 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. This book includes:
A high-level description of the VVC novel encoding tools;
A detailed description ofthe VVC intra-frame prediction;
A deep statistical assessment of the VVC intra-frame prediction behavior;
Five algorithms to reduce the VVC intra-frame prediction encoding effort.
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, 360º 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. Describes new encoding tools used in Versatile Video Coding (VVC) intra-frame prediction Presents a detailed statistical analysis of the encoding effort in VVC intra-frame prediction Includes a set of five algorithms for encoding effort reduction targeting VVC intra-frame prediction