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This book describes and analyzes in detail the encoding effort and
the encoding tool usage applied to 3D-HEVC depth map coding. Based
on the analyzed information, the authors introduce efficient
algorithms for accelerating the available encoding tools. The
contributions discussed in this book include four algorithms for
reducing intra-frame encoding effort and three algorithms for
reducing inter-frame encoding effort. The presented results
demonstrate several levels of encoding effort reduction with
different impacts in the encoding efficiency, surpassing
state-of-the-art solutions by more than 50% the encoding effort
with only 0.3% encoding efficiency loss.
This book describes and analyzes in detail the encoding effort and
the encoding tool usage applied to 3D-HEVC depth map coding. Based
on the analyzed information, the authors introduce efficient
algorithms for accelerating the available encoding tools. The
contributions discussed in this book include four algorithms for
reducing intra-frame encoding effort and three algorithms for
reducing inter-frame encoding effort. The presented results
demonstrate several levels of encoding effort reduction with
different impacts in the encoding efficiency, surpassing
state-of-the-art solutions by more than 50% the encoding effort
with only 0.3% encoding efficiency loss.
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.
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