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Complexity-Aware High Efficiency Video Coding

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Complexity-Aware High Efficiency Video Coding/ by Guilherme Corrêa, Pedro Assunção, Luciano Agostini, Luis A. da Silva Cruz.
Author:	Corrêa, Guilherme.
other author:	Assunção, Pedro.
Description:	XXII, 225 p. 131 illus., 47 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Electronic circuits. -
Online resource:	https://doi.org/10.1007/978-3-319-25778-5
ISBN:	9783319257785

Complexity-Aware High Efficiency Video Coding
Corrêa, Guilherme.

Complexity-Aware High Efficiency Video Coding[electronic resource] /by Guilherme Corrêa, Pedro Assunção, Luciano Agostini, Luis A. da Silva Cruz. - 1st ed. 2016. - XXII, 225 p. 131 illus., 47 illus. in color.online resource.

Introduction -- Video Coding Background -- State of the Art on Computational Complexity of Video Encoders -- Performance and Computational Complexity Assessment of HEVC -- Complexity Scaling for HEVC Using Adaptive Partitioning Structures -- Complexity Reduction for HEVC Using Data Mining Techniques -- Complexity Reduction and Scaling Applied to HEVC Encoding Time Control -- Conclusions.

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. • Describes the state-of-the-art in computational complexity for HEVC; • Discusses challenges related to the use of HEVC in complexity-constrained and power-constrained multimedia systems; • Analyzes the efficiency of HEVC encoding tools and frame partitioning structures, in terms of compression efficiency and computational complexity; • Enables the design of complexity-constrained and power-constrained multimedia systems, with a set of methods and their respective algorithms; • Shows the applicability of the proposed methods in real-case scenarios. .

ISBN: 9783319257785

Standard No.: 10.1007/978-3-319-25778-5doiSubjects--Topical Terms:

563332
Electronic circuits.

LC Class. No.: TK7888.4

Dewey Class. No.: 621.3815

Complexity-Aware High Efficiency Video Coding
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505 0 $a Introduction -- Video Coding Background -- State of the Art on Computational Complexity of Video Encoders -- Performance and Computational Complexity Assessment of HEVC -- Complexity Scaling for HEVC Using Adaptive Partitioning Structures -- Complexity Reduction for HEVC Using Data Mining Techniques -- Complexity Reduction and Scaling Applied to HEVC Encoding Time Control -- Conclusions.
520 $a 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. • Describes the state-of-the-art in computational complexity for HEVC; • Discusses challenges related to the use of HEVC in complexity-constrained and power-constrained multimedia systems; • Analyzes the efficiency of HEVC encoding tools and frame partitioning structures, in terms of compression efficiency and computational complexity; • Enables the design of complexity-constrained and power-constrained multimedia systems, with a set of methods and their respective algorithms; • Shows the applicability of the proposed methods in real-case scenarios. .
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