Luciano Agostini – författare

This book describes and analyzes in detail the encoding effort and the encoding tool usage applied to 3D-HEVC depth map coding.

This book describes and analyzes in detail the encoding effort and the encoding tool usage applied to 3D-HEVC depth map coding.

This book discusses the Versatile Video Coding (VVC), the ISO and ITU state-of-the-art video coding standard.

This book discusses the Versatile Video Coding (VVC), the ISO and ITU state-of-the-art video coding standard.

This book focuses on the research and development challenges posed by 3D video systems based on multi-view plus depth (MVD) technology.

This book focuses on the research and development challenges posed by 3D video systems based on multi-view plus depth (MVD) technology. This technology can produce a realistic immersive experience generating synthetic video views on the decoder side, reducing the amount of information on the encoder side. The discussion presented in this book explores the MVD characteristics to propose high-throughput and energy-efficient architectures/systems, focusing on 3D-HEVC, the state-of-the-art standard for exploiting the MVD concept. The book includes an extensive discussion of the 3D-HEVC video encoding, followed by an in-depth evaluation of the 3D-HEVC reference software behavior. Then, the book presents in detail a set of high-throughput and energy-efficient architectures targeting the three main prediction steps inside the 3D-HEVC: intra-frame prediction, inter-frame prediction, and inter-view prediction.

This book discusses computational complexity of High Efficiency Video Coding (HEVC) encoders with coverage extending from the analysis of HEVC compression efficiency and computational complexity to the reduction and scaling of its encoding complexity. After an introduction to the topic and a review of the state-of-the-art research in the field, the authors provide a detailed analysis of the HEVC encoding tools compression efficiency and computational complexity.  Readers will benefit from a set of algorithms for scaling the computational complexity of HEVC encoders, all of which take advantage from the flexibility of the frame partitioning structures allowed by the standard.  The authors also provide a set of early termination methods based on data mining and machine learning techniques, which are able to reduce the computational complexity required to find the best frame partitioning structures. The applicability of the proposed methods is finally exemplified with an encoding time control system that employs the best complexity reduction and scaling methods presented throughout the book. The methods presented in this book are especially useful in power-constrained, portable multimedia devices to reduce energy consumption and to extend battery life. They can also be applied to portable and non-portable multimedia devices operating in real time with limited computational resources.