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Smart Algorithms for Multimedia and Imaging

Part of the Signals and Communication Technology Book Series

Editors: Rychagov, Michael N.; Tolstaya, Ekaterina V.; Sirotenko, Mikhail Y.

DOI: 10.1007/978-3-030-66741-2

ISBN: 978-3-030-66740-5

Publisher: Springer International Publishing - Springer Journals

May 6, 2021

1 - 10 of 16 Chapters

LitStream

Chapter 1Super-Resolution: 1. Multi-Frame-Based Approach

Petrova, Xenia Y.

Pages: 1 –34

[The multi-frame super-resolution (MF SR) problem with input in the Bayer domain is considered. Shots are assumed to be obtained by the consumer camera and provided in RAW format, which means that they were not subject to any prior enhancement or compression. In the introduction, general ideas...
LitStream

Chapter 2Super-Resolution: 2. Machine Learning-Based Approach

Chernyavskiy, Alexey S.

Pages: 35 –58

[We present an overview of approaches to single image super-resolution (SISR) that are based on deep learning. We discuss the basic techniques to build a convolutional neural network (CNN) to up-scale images by integer zoom factors. Various loss functions and image quality metrics are covered,...
LitStream

Chapter 3Depth Estimation and Control

Tolstaya, Ekaterina V.; Bucha, Viktor V.

Pages: 59 –79

[In this chapter, we consider one of the aspects of 3D TV customisation: adjusting the strength of the 3D stereo effect. Starting with a brief historical retrospective of 3D TV technology, we consider the factors contributing to eye fatigue of the stereo content viewer and some aspects of...
LitStream

Chapter 4Semi-Automatic 2D to 3D Video Conversion

Pohl, Petr; Tolstaya, Ekaterina V.

Pages: 81 –114

[In this chapter, the process of converting conventional video sequences to stereo format is considered. Key frame detection, depth assignment, depth propagation, motion vector estimation, background inpainting, and stereo synthesis comprise the stereo conversion pipeline. We also consider...
LitStream

Chapter 5Visually Lossless Colour Compression Technology

Mishourovsky, Michael N.

Pages: 115 –154

[This chapter presents results of the development of visually lossless compression technology indented for integrating into video memory interfaces, TV sets, and other devices with limited bandwidth for video transmitting. The presented technology provides visually lossless compression of the...
LitStream

Chapter 6Automatic Video Editing

Podlesnyy, Sergey Y.

Pages: 155 –191

[Automatic video editing is an artistic process involving at least the steps of selecting the most valuable footage from the points of view of visual quality and the importance of the action filmed; and cutting the footage into a brief and coherent visual story that would be interesting to watch...
LitStream

Chapter 7Real-Time Detection of Sports Broadcasts Using Video Content Analysis

Petrova, Xenia Y.; Anisimovsky, Valery V.; Rychagov, Michael N.

Pages: 193 –217

[The classification of both static images and video is a rapidly developing field and has great potential for commercialisation. In this chapter, the problem of detecting game (sport) matches in a video stream is considered and a frame-level lightweight, real-time classification algorithm is...
LitStream

Chapter 8Natural Effect Generation and Reproduction

Kryzhanovskiy, Konstantin A.; Safonov, Ilia V.

Pages: 219 –235

[In this chapter, we describe an approach for automatic on-the-fly generation of audio- and content-adaptive animation effects from still images. Our method is intended to be adapted for implementation in embedded hardware platforms. Displayed animation behaves uniquely each time it is played...
LitStream

Chapter 9Image Classification as a Service

Sirotenko, Mikhail Y.

Pages: 237 –258

[In this chapter, we discuss a task of building an image classification as a service. We cover all steps of this process starting from ethical considerations, data collection and annotation, metrics and evaluation procedures; we review different model training approaches and model training...
LitStream

Chapter 10Mobile User Profiling

Fartukov, Alexey M.; Rychagov, Michael N.; Stepanova, Lyubov V.

Pages: 259 –275

[Modern mobile devices can provide a continuous data stream that allows one to construct a mobile user profile. Such a profile can be utilized for a variety of user services, such as to personalize customer services and mobile applications and to build passive authentication on mobile devices. In...

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