000 04135nam a22005055i 4500
001 978-3-319-25778-5
003 DE-He213
005 20200421112554.0
007 cr nn 008mamaa
008 151229s2016 gw | s |||| 0|eng d
020 _a9783319257785
_9978-3-319-25778-5
024 7 _a10.1007/978-3-319-25778-5
_2doi
050 4 _aTK7888.4
072 7 _aTJFC
_2bicssc
072 7 _aTEC008010
_2bisacsh
082 0 4 _a621.3815
_223
100 1 _aCorr�ea, Guilherme.
_eauthor.
245 1 0 _aComplexity-Aware High Efficiency Video Coding
_h[electronic resource] /
_cby Guilherme Corr�ea, Pedro Assun�c�ao, Luciano Agostini, Luis A. da Silva Cruz.
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 _aEngineering.
650 0 _aComputer graphics.
650 0 _aElectrical engineering.
650 0 _aElectronic circuits.
650 1 4 _aEngineering.
650 2 4 _aCircuits and Systems.
650 2 4 _aComputer Graphics.
650 2 4 _aCommunications Engineering, Networks.
700 1 _aAssun�c�ao, Pedro.
_eauthor.
700 1 _aAgostini, Luciano.
_eauthor.
700 1 _aCruz, Luis A. da Silva.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319257761
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-25778-5
912 _aZDB-2-ENG
942 _cEBK
999 _c59032
_d59032