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024 7 _a10.1007/978-3-030-66741-2
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245 1 0 _aSmart Algorithms for Multimedia and Imaging
_h[electronic resource] /
_cedited by Michael N. Rychagov, Ekaterina V. Tolstaya, Mikhail Y. Sirotenko.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXIV, 433 p. 278 illus., 217 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aSignals and Communication Technology,
_x1860-4870
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 _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.
650 0 _aSignal processing.
_94052
650 0 _aComputer vision.
_949706
650 0 _aTelecommunication.
_910437
650 1 4 _aSignal, Speech and Image Processing .
_931566
650 2 4 _aComputer Vision.
_949707
650 2 4 _aCommunications Engineering, Networks.
_931570
700 1 _aRychagov, Michael N.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_949708
700 1 _aTolstaya, Ekaterina V.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_949709
700 1 _aSirotenko, Mikhail Y.
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_4http://id.loc.gov/vocabulary/relators/edt
_949710
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783030667429
776 0 8 _iPrinted edition:
_z9783030667436
830 0 _aSignals and Communication Technology,
_x1860-4870
_949712
856 4 0 _uhttps://doi.org/10.1007/978-3-030-66741-2
912 _aZDB-2-ENG
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