Complexity-Aware High Efficiency Video Coding - libro nuevo

EAN (ISBN-13): 9783319257785
Año de publicación: 2016
Editorial: Springer International Publishing

Libro en la base de datos desde 2016-01-19T08:55:59+01:00 (Madrid)
Página de detalles modificada por última vez el 2024-02-14T21:48:47+01:00 (Madrid)
ISBN/EAN: 9783319257785

ISBN - escritura alterna:
978-3-319-25778-5
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Autor del libro: lucian, silva, agostini, pedro, agosti, assuncao, cruz luis, courtois courtois
Título del libro: video, vide, agostini, complexity

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Datos del la editorial

Autor: Guilherme Corrêa; Pedro Assunção; Luciano Agostini; Luis A. da Silva Cruz
Título: Complexity-Aware High Efficiency Video Coding
Editorial: Springer; Springer International Publishing
225 Páginas
Año de publicación: 2015-12-29
Cham; CH
Idioma: Inglés
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
XXII, 225 p. 131 illus., 47 illus. in color.

EA; E107; eBook; Nonbooks, PBS / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Schaltkreise und Komponenten (Bauteile); Verstehen; Computational Complexity of Video Encoders; HEVC; High Efficiency Video Coding; Video Coding for Mobile Communications; complexity-constrained multimedia systems; B; Electronic Circuits and Systems; Computer Graphics; Communications Engineering, Networks; Engineering; Grafikprogrammierung; Nachrichtententechnik, Telekommunikation; BB

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.

Luis A. da Silva Cruzis a professor of electrical and computer engineering at the University of Coimbra and researcher with the Instituto de Telecomunicações, Portugal. He received an M.Sc. in information systems from the University of Coimbra in 1993; an M.Sc. in mathematics from the Rensselaer Polytechnic Institute, USA, in 1997; and a Ph.D. in electrical, computer and systems engineering also from the Rensselaer Polytechnic Institute in 2000. He researches at the Instituto de Telecomunicações, focusing on video processing and encoding, video codecs optimization and medical image processing.

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 timecontrol 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.

 

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.