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Smart algorithms for multimedia and ...

Rychagov, Michael N.

Smart algorithms for multimedia and imaging

Record Type:	Electronic resources : Monograph/item
Title/Author:	Smart algorithms for multimedia and imagingedited 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.
Contained By:	Springer Nature eBook
Subject:	Image processingDigital techniques.
Online resource:	https://doi.org/10.1007/978-3-030-66741-2
ISBN:	9783030667412$q(electronic bk.)

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$q(electronic bk.)

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

182119
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.
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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 182119
650 0 $a Multimedia systems. $3 184435
650 0 $a Artificial intelligence. $3 194058
650 1 4 $a Signal, Image and Speech Processing. $3 273768
650 2 4 $a Image Processing and Computer Vision. $3 274051
650 2 4 $a Communications Engineering, Networks. $3 273745
700 1 $a Rychagov, Michael N. $3 892387
700 1 $a Tolstaya, Ekaterina V. $3 892388
700 1 $a Sirotenko, Mikhail Y. $3 892389
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Signals and communication technology. $3 557664
856 4 0 $u https://doi.org/10.1007/978-3-030-66741-2
950 $a Engineering (SpringerNature-11647)