Smart algorithms for multimedia and imaging / Michael N. Rychagov, Ekaterina V. Tolstaya, Mikhail Y. Sirotenko, editors.
Rychagov, Michael N., editor.; Tolstaya, Ekaterina V., editor.; Sirotenko, Mikhail Y., editor.
2021
TA1637
Available Online

Linked e-resources

Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks

Details

Title
Smart algorithms for multimedia and imaging / Michael N. Rychagov, Ekaterina V. Tolstaya, Mikhail Y. Sirotenko, editors.
ISBN
9783030667412 (electronic bk.)
3030667413 (electronic bk.)
9783030667405 (print)
3030667405
DOI
https://doi.org/10.1007/978-3-030-66741-2
Published
Cham, Switzerland : Springer, [2021]
Language
English
Description
1 online resource (xiv, 433 pages) : illustrations (some color)
Item Number
10.1007/978-3-030-66741-2 doi
Call Number
TA1637
Dewey Decimal Classification
006.6
Summary
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.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed May 11, 2021).
Added Author
Rychagov, Michael N., editor.
Tolstaya, Ekaterina V., editor.
Sirotenko, Mikhail Y., editor.
Series
Signals and communication technology, 1860-4862
Available in Other Form
Smart algorithms for multimedia and imaging.
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
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.

Browse Subjects

Show more subjects...

Statistics

from
to
Export