Smart Algorithms for Multimedia and Imaging

Smart Algorithms for Multimedia and Imaging (Signals and Communication Technology) 1st ed. 2021 Edition
by:Michael N. Rychagov,Ekaterina V. Tolstaya,Mikhail Y. Sirotenko
Publisher Finelybook 出版社:Springer; 1st ed. 2021 edition (May 6, 2021)
Language 语言:English
pages 页数:447 pages
ISBN-10 书号:3030667405
ISBN-13 书号:9783030667405

Book Description
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.


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