Complexity-Aware High Efficiency Video Coding
暫譯: 複雜度感知的高效視頻編碼

Guilherme Corrêa, Pedro Assunção, Luciano Agostini, Luis A. da Silva Cruz

  • 出版商: Springer
  • 出版日期: 2016-01-08
  • 售價: $2,420
  • 貴賓價: 9.5$2,299
  • 語言: 英文
  • 頁數: 225
  • 裝訂: Hardcover
  • ISBN: 3319257765
  • ISBN-13: 9783319257761
  • 海外代購書籍(需單獨結帳)

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商品描述

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.

商品描述(中文翻譯)

本書討論高效率視頻編碼(High Efficiency Video Coding, HEVC)編碼器的計算複雜度,涵蓋從HEVC壓縮效率和計算複雜度的分析到其編碼複雜度的減少和縮放。經過對主題的介紹和該領域最新研究的回顧,作者提供了HEVC編碼工具的壓縮效率和計算複雜度的詳細分析。讀者將受益於一組用於縮放HEVC編碼器計算複雜度的算法,這些算法均利用了標準所允許的幀劃分結構的靈活性。作者還提供了一組基於數據挖掘和機器學習技術的早期終止方法,這些方法能夠減少尋找最佳幀劃分結構所需的計算複雜度。最後,所提出方法的適用性通過一個編碼時間控制系統得以示範,該系統採用了本書中提出的最佳複雜度減少和縮放方法。本書中提出的方法在受限於電力的可攜式多媒體設備中特別有用,以減少能耗並延長電池壽命。這些方法也可以應用於在有限計算資源下實時運行的可攜式和非可攜式多媒體設備。