rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Complexity-Aware High Efficiency Video Coding
  name:
    name part: Corrêa, Guilherme.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Assunção, Pedro.
    role:
      role term: author.
  name:
    name part: Agostini, Luciano.
    role:
      role term: author.
  name:
    name part: Cruz, Luis A. da Silva.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXII, 225 p. 131 illus., 47 illus. in color. online resource.
  abstract: 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. .
  table of contents: 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.
  note: by Guilherme Corrêa, Pedro Assunção, Luciano Agostini, Luis A. da Silva Cruz.
  subject:
    topic: Engineering
  subject:
    topic: Computer graphics
  subject:
    topic: Electrical engineering
  subject:
    topic: Electronic circuits
  subject:
    topic: Engineering
  subject:
    topic: Circuits and Systems
  subject:
    topic: Computer Graphics
  subject:
    topic: Communications Engineering, Networks
  classification: TK7888.4
  classification: 621.3815
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783319257785
  identifier: http://dx.doi.org/10.1007/978-3-319-25778-5
  record info:
    record creation date: 151229
    record change date: 20170517232140.0
    record identifier: 978-3-319-25778-5