书目名称 | Smart Algorithms for Multimedia and Imaging | 编辑 | Michael N. Rychagov,Ekaterina V. Tolstaya,Mikhail | 视频video | | 概述 | 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 | 丛书名称 | Signals and Communication Technology | 图书封面 |  | 描述 | 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 ofthese 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 appr | 出版日期 | Book 2021 | 关键词 | Image and video super-resolution; depth estimation and control; motion vector estimation; visual lossle | 版次 | 1 | doi | https://doi.org/10.1007/978-3-030-66741-2 | isbn_softcover | 978-3-030-66743-6 | isbn_ebook | 978-3-030-66741-2Series ISSN 1860-4862 Series E-ISSN 1860-4870 | issn_series | 1860-4862 | copyright | Springer Nature Switzerland AG 2021 |
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