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008			220212s2021 sz | s |||| 0|eng d
020			_a9783030667412
024	7		_a10.1007/978-3-030-66741-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA1637 _b2021 EB
245	0	0	_aSmart Algorithms for Multimedia and Imaging _cedited by Michael N. Rychagov, Ekaterina V. Tolstaya, Mikhail Y. Sirotenko
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publishing _c2021
300			_a1 recurso en línea (XIV, 433 páginas) _b 278 ilustraciones, 217 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aSignals and Communication Technology _x1860-4870
490	0		_aEngineering (SpringerNature-11647)
490	0		_aEngineering (R0) (SpringerNature-43712)
505	0		_aIntroduction -- Part I: Image and Video Conversion (VC) -- Image and Video Super-resolution -- Depth Estimation and Control -- Motion Vector Estimation -- Quick 3D: 2D to 3D Conversion -- Visual Lossless Color Compression Technology -- Part II: TV and Display Applications (TVD) -- On-screen Display Detection (OSD) -- Adaptive Content Analysis -- Natural Effects Generation and Reproducing -- Part III: ML and AI (ML-AI) -- Location Mining -- Image Categorization in the Cloud -- General Purpose Machine -- Learning (ML) Platform and ML Wizard -- Part IV: Mobile Algorithms (MA) -- Color-coded Aperture Camera -- Mobile User Profiling -- 3D Object Reconstruction -- Motion Photo -- Iris Recognition -- Conclusion.
520	3		_aThis book presents prospective, industrially proven methods and software solutions for storing, processing, and viewing multimedia content on digital cameras, camcorders, TV, and mobile devices. Most of the algorithms described here are implemented as systems on chip firmware or as software products and have low computational complexity and memory consumption. In the four parts of the book, which contains a total of 16 chapters, the authors address solutions for the conversion of images and videos by super-resolution, depth estimation and control and mono-to-stereo (2D to 3D) conversion; display applications by video editing; the real-time detection of sport episodes; and the generation and reproduction of natural effects. The practical principles of machine learning are illustrated using technologies such as image classification as a service, mobile user profiling, and automatic view planning with dictionary-based compressed sensing in magnetic resonance imaging. The implementation of these technologies in mobile devices is discussed in relation to algorithms using a depth camera based on a colour-coded aperture, the animated graphical abstract of an image, a motion photo, and approaches and methods for iris recognition on mobile platforms. The book reflects the authors' practical experience in the development of algorithms for industrial R&D and the commercialization of technologies. Explains digital techniques for digital cameras, camcorders, TV, mobile devices; Offers essential algorithms for the processing pipeline in multimedia devices and accompanying software tools; Features advanced topics on data processing, addressing current technology challenges.
988			_aSpringer_Engineering_2021
650		7	_2embne _9669495 _aProceso de imágenes
650		7	_2embne _9147630 _aMultimedia
700	1		_aRychagov, Michael N. _eeditor literario _4 _4http://id.loc.gov/vocabulary/relators/edt _9681925
700	1		_aTolstaya, Ekaterina V. _eeditor literario _4 _4http://id.loc.gov/vocabulary/relators/edt _9673673
700	1		_aSirotenko, Mikhail Y. _eeditor literario _4 _4http://id.loc.gov/vocabulary/relators/edt _9681926
776	0	8	_iPrinted edition: _z9783030667405
776	0	8	_iPrinted edition: _z9783030667429
776	0	8	_iPrinted edition: _z9783030667436
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-66741-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2022 _dz _eIG _zSI