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008			151229s2016 gw a s 001 0 eng d
020			_a9783319257785
024	7		_a10.1007/978-3-319-25778-5 _2doi
040			_aES-MaUEC
050		4	_aTK5102.9 _b.C68 2016 EB
082	0	4	_a621.3815
100	1		_aCorrea, Guilherme _0no2016034892 _997850 _0Local
245	1	0	_aComplexity-Aware High Efficiency Video Coding _cby Guilherme Correa, Pedro Assuncao, Luciano Agostini, Luis A da Silva Cruz
250			_a1st ed.
264		1	_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XXII, 225 p.) _b131 ilustraciones, 47 ilustraciones en color
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
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	3		_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.
710	2		_aSpringerLink (Online service) _0Local _9106996
942			_2lcc _cLE
988			_aEBOOK, EBSPRINGER
650		7	_aProceso de señales _0comprobar BNE19951320444 _2embne _9150608
700	1		_aAssunca̧õ, Pedro _d1965- _0no2016022866 _997851 _0Local
700	1		_aAgostini, Luciano _0local _997852 _0Local
700	1		_aCruz, Luis A. da Silva _0local _997853 _0Local
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-25778-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319257785
907			_a.b12944075 _b14-10-17 _c21-11-16
998			_am _a_alco _a_vill _b14-10-17 _cm _dz _ei _feng _ggw _h0
945			_aTK5102.9 .C68 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11588214 _z06-04-17
999			_c85129 _d85129 _x1