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008 151229s2016 sz | s |||| 0|eng d
020 _a9783319257785
_9978-3-319-25778-5
024 7 _a10.1007/978-3-319-25778-5
_2doi
050 4 _aTK7867-7867.5
072 7 _aTJFC
_2bicssc
072 7 _aTEC008010
_2bisacsh
072 7 _aTJFC
_2thema
082 0 4 _a621.3815
_223
100 1 _aCorrêa, Guilherme.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_959251
245 1 0 _aComplexity-Aware High Efficiency Video Coding
_h[electronic resource] /
_cby Guilherme Corrêa, Pedro Assunção, Luciano Agostini, Luis A. da Silva Cruz.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXXII, 225 p. 131 illus., 47 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- 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 _aThis 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.  .
650 0 _aElectronic circuits.
_919581
650 0 _aComputer graphics.
_94088
650 0 _aTelecommunication.
_910437
650 1 4 _aElectronic Circuits and Systems.
_959252
650 2 4 _aComputer Graphics.
_94088
650 2 4 _aCommunications Engineering, Networks.
_931570
700 1 _aAssunção, Pedro.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_959253
700 1 _aAgostini, Luciano.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_959254
700 1 _aCruz, Luis A. da Silva.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_959255
710 2 _aSpringerLink (Online service)
_959256
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319257761
776 0 8 _iPrinted edition:
_z9783319257778
776 0 8 _iPrinted edition:
_z9783319798394
856 4 0 _uhttps://doi.org/10.1007/978-3-319-25778-5
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c80311
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