Title Statements
- Full title :Versatile video coding (VVC) : machine learning and heuristics / Mário Saldanha, Gustavo Sanchez, César Marcon, Luciano Agostini.
Summary
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. This book includes: A high-level description of the VVC novel encoding tools; A detailed description of the 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.
Read More ↓Edition Statements
- Publication Date:©2022
Publication Statements
- Publisher(s):Springer
- Place of Publication:Cham
- Language:eng
- Publication Date:©2022
The Physical Object
- Description:1 online resource (xi, 123 pages) : : illustrations (chiefly color).
Edition Identifiers
- ISBN:9783031116407, 3031116402
- DOI:10.1007/978-3-031-11640-7
- oclc:on1343951532
- LC Classification:TK6680.5
- Dewey Decimal:006.6/96
Table of Contents
Introduction -- Versatile Video Coding -- VVC Intra-Frame Prediction -- State-of-the-Art Overview -- Performance Analysis of VVC Intra-Frame Prediction -- Heuristic Based Fast Multi-Type Tree Decision Scheme for Luminance -- Light Gradient Boosting Machine Configurable Fast Block Partitioning for Luminance -- Learning-Based Fast Decision for Intra-Frame Prediction Mode Selection for Luminance -- Fast Intra-Frame Prediction Transform for Luminance Using Decision Trees -- Heuristic Based Fast Block Partitioning Scheme for Chrominance -- Conclusions.
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