This book discusses computational complexity of High Efficiency Video Coding (HEVC) encoders with coverage extending from the analysis of HEVC compression efficiency and computational com… Mehr…
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.; PDF; Scientific, Technical and Medical > Electronics & communications engineering > Electronics engineeri, Springer International Publishing<
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This book discusses computational complexity of High Efficiency Video Coding (HEVC) encoders with coverage extending from the analysis of HEVC compression efficiency and computational com… Mehr…
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., Springer<
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Nr. 978-3-319-25778-5. Versandkosten:Worldwide free shipping, , DE. (EUR 0.00) Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
This book discusses computational complexity of High Efficiency Video Coding (HEVC) encoders with coverage extending from the analysis of HEVC compression efficiency and computational com… Mehr…
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.; PDF; Scientific, Technical and Medical > Electronics & communications engineering > Electronics engineeri, Springer International Publishing<
No. 9783319257785. Versandkosten:Instock, Despatched same working day before 3pm, zzgl. Versandkosten.
This book discusses computational complexity of High Efficiency Video Coding (HEVC) encoders with coverage extending from the analysis of HEVC compression efficiency and computational com… Mehr…
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., Springer<
Nr. 978-3-319-25778-5. Versandkosten:Worldwide free shipping, , DE. (EUR 0.00)
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Detailangaben zum Buch - Complexity-Aware High Efficiency Video Coding
EAN (ISBN-13): 9783319257785 Erscheinungsjahr: 2016 Herausgeber: Springer International Publishing
Buch in der Datenbank seit 2016-01-19T08:55:59+01:00 (Berlin) Detailseite zuletzt geändert am 2024-02-14T21:48:47+01:00 (Berlin) ISBN/EAN: 9783319257785
ISBN - alternative Schreibweisen: 978-3-319-25778-5 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: lucian, silva, agostini, pedro, agosti, assuncao, cruz luis, courtois courtois Titel des Buches: video, vide, agostini, complexity
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