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Smart algorithms for multimedia and ...

Rychagov, Michael N.

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Smart algorithms for multimedia and imaging

Record Type:	Electronic resources : Monograph/item
Title/Author:	Smart algorithms for multimedia and imaging/ edited by Michael N. Rychagov, Ekaterina V. Tolstaya, Mikhail Y. Sirotenko.
other author:	Rychagov, Michael N.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xiv, 433 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Introduction -- 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.
Contained By:	Springer Nature eBook
Subject:	Image processing - Digital techniques. -
Online resource:	https://doi.org/10.1007/978-3-030-66741-2
ISBN:	9783030667412

Smart algorithms for multimedia and imaging
Smart algorithms for multimedia and imaging[electronic resource] /edited by Michael N. Rychagov, Ekaterina V. Tolstaya, Mikhail Y. Sirotenko. - Cham :Springer International Publishing :2021. - xiv, 433 p. :ill. (some col.), digital ;24 cm. - Signals and communication technology,1860-4862. - Signals and communication technology..

Introduction -- 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.

This 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.

ISBN: 9783030667412

Standard No.: 10.1007/978-3-030-66741-2doiSubjects--Topical Terms:

532550
Image processing
--Digital techniques.

LC Class. No.: TA1637 / .S53 2021

Dewey Class. No.: 006.6

Smart algorithms for multimedia and imaging
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245 0 0 $a Smart algorithms for multimedia and imaging $h [electronic resource] / $c edited by Michael N. Rychagov, Ekaterina V. Tolstaya, Mikhail Y. Sirotenko.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xiv, 433 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Signals and communication technology, $x 1860-4862
505 0 $a Introduction -- 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 $a This 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 $a Image processing $x Digital techniques. $3 532550
650 0 $a Multimedia systems. $3 517454
650 0 $a Artificial intelligence. $3 516317
650 1 4 $a Signal, Image and Speech Processing. $3 891073
650 2 4 $a Image Processing and Computer Vision. $3 891070
650 2 4 $a Communications Engineering, Networks. $3 891094
700 1 $a Rychagov, Michael N. $3 3495731
700 1 $a Tolstaya, Ekaterina V. $3 3495732
700 1 $a Sirotenko, Mikhail Y. $3 3495733
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Signals and communication technology. $3 1565543
856 4 0 $u https://doi.org/10.1007/978-3-030-66741-2
950 $a Engineering (SpringerNature-11647)