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008			220903s2022 sz | s |||| 0|eng d
020			_a9783031116407
024	7		_a10.1007/978-3-031-11640-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK6680.5 _b2022 EB
100	1		_aSaldanha, Mário _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686587
245	1	0	_aVersatile Video Coding (VVC) : _bMachine Learning and Heuristics _cby Mário Saldanha, Gustavo Sanchez, César Marcon, Luciano Agostini
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XI, 123 páginas) _b50 ilustraciones, 45 ilustraciones en blanco y negro
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Engineering Science and Technology _x2690-0327
505	0		_aIntroduction -- Versatile Video Coding -- VVC Intra-Frame Prediction -- State-of-the-Art Overview -- Performance Analysis of VVC Intra-Frame Prediction -- Heuristic Based Fast Multi-Type Tree Decision Scheme for Luminance -- Light Gradient Boosting Machine Configurable Fast Block Partitioning for Luminance -- Learning-Based Fast Decision for Intra-Frame Prediction Mode Selection for Luminance -- Fast Intra-Frame Prediction Transform for Luminance Using Decision Trees -- Heuristic Based Fast Block Partitioning Scheme for Chrominance -- Conclusions.
520			_aThis book discusses the Versatile Video Coding (VVC), the ISO and ITU state-of-the-art video coding standard. VVC reaches a compression efficiency significantly higher than its predecessor standard (HEVC) and it has a high versatility for efficient use in a broad range of applications and different types of video content, including Ultra-High Definition (UHD), High-Dynamic Range (HDR), screen content, 360º videos, and resolution adaptivity. The authors introduce the novel VVC tools for block partitioning, intra-frame and inter-frames predictions, transforms, quantization, entropy coding, and in-loop filtering. The authors also present some solutions exploring VVC encoding behavior at different levels to accelerate the intra-frame prediction, applying statistical-based heuristics and machine learning (ML) techniques. This book includes: A high-level description of the VVC novel encoding tools; A detailed description of the VVC intra-frame prediction; A deep statistical assessment of the VVC intra-frame prediction behavior; Five algorithms to reduce the VVC intra-frame prediction encoding effort.
988			_aSynthesis Collection of Technology_2022
650		7	_2embne _9156182 _aVídeo digital
650		7	_2embne _9166090 _aAprendizaje automático
650		7	_2embne _9666753 _aCodificación, Teoría de la
700	1		_aSánchez, Gustavo _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9671548
700	1		_aMarcon, César _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686588
700			_aAgostini, Luciano _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _997852
776	0	8	_iPrinted edition: _z9783031116391
776	0	8	_iPrinted edition: _z9783031116414
776	0	8	_iPrinted edition: _z9783031116421
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-11640-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _esc _zSI