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Versatile Video Coding (VVC): Machine Learning and Heuristics

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. <br>This book includes: <ul><li>A high-level description of the VVC novel encoding tools; </li><li>A detailed description of the VVC intra-frame prediction;</li><li>A deep

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<p>Versatile Video Coding (VVC): Machine Learning and Heuristics covers the ISO and ITU's advanced video coding standard known as VVC. This standard offers significantly improved compression efficiency compared to its predecessor, HEVC, and supports a wide range of video content types such as Ultra-High Definition (UHD), High-Dynamic Range (HDR), screen content, 360-degree videos, and resolution adaptivity. The book introduces the novel VVC tools for block partitioning, intra-frame and inter-frame predictions, transforms, quantization, entropy coding, and in-loop filtering. It also explores methods to accelerate intra-frame prediction using statistical heuristics and machine learning techniques, providing insights into VVC encoding behavior at various levels.</p>

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