Versatile Video Coding (VVC) : Machine Learning and Heuristics

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Versatile Video Coding (VVC) : Machine Learning and Heuristics

  • 著者名:Saldanha, Mário/Sanchez, Gustavo/Marcon, César/Agostini, Luciano
  • 価格 ¥12,141 (本体¥11,038)
  • Springer(2022/09/03発売)
  • 春うらら!Kinoppy 電子書籍・電子洋書 全点ポイント30倍キャンペーン(~3/15)
  • ポイント 3,300pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9783031116391
  • eISBN:9783031116407

ファイル: /

Description

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.

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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