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Hybrid Video Compression Standard, Dhaval R. Bhojani; Vedvyas J. Dwivedi; Rohit M. Th


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Цена: 6986.00р.
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При оформлении заказа до: 2025-07-28
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Автор: Dhaval R. Bhojani; Vedvyas J. Dwivedi; Rohit M. Th
Название:  Hybrid Video Compression Standard
ISBN: 9789811502446
Издательство: Springer
Классификация:


ISBN-10: 9811502447
Обложка/Формат: Soft cover
Страницы: 58
Вес: 0.13 кг.
Дата издания: 2020
Серия: Springerbriefs in applied sciences and technology
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 30 illustrations, color; 13 illustrations, black and white; xiii, 58 p. 43 illus., 30 illus. in color.
Размер: 234 x 156 x 4
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: The book presents compression techniques for digital video stream, describing their design using various image transforms, such as discrete cosine transform (DCT), discrete wavelet transform (DWT), and singular value decomposition (SVD).


The VC-1 and H.264 Video Compression Standards for Broadband Video Services

Автор: Jae-Beom Lee; Hari Kalva
Название: The VC-1 and H.264 Video Compression Standards for Broadband Video Services
ISBN: 1441943765 ISBN-13(EAN): 9781441943767
Издательство: Springer
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Цена: 26120.00 р.
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Описание: This book covers the MPEG H.264 and MS VC-1 video coding standards as well as issues in broadband video delivery over IP networks. This professional reference is designed for industry practitioners, including video engineers, and professionals in consumer electronics, telecommunications and media compression industries.

Wavelet Image and Video Compression

Автор: Pankaj N. Topiwala
Название: Wavelet Image and Video Compression
ISBN: 1475782640 ISBN-13(EAN): 9781475782646
Издательство: Springer
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Цена: 20962.00 р.
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Описание: An exciting new development has taken place in the digital era that has captured the imagination and talent of researchers around the globe - wavelet image compression. Part II, Still Image Coding, presents a spectrum of wavelet still image coding techniques.

Hybrid and Advanced Compression Techniques for Medical Images

Автор: Rohit M. Thanki; Ashish Kothari
Название: Hybrid and Advanced Compression Techniques for Medical Images
ISBN: 3030125742 ISBN-13(EAN): 9783030125745
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book introduces advanced and hybrid compression techniques specifically used for medical images. The book discusses conventional compression and compressive sensing (CS) theory based approaches that are designed and implemented using various image transforms, such as: Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), and Singular Value Decomposition (SVD) and greedy based recovery algorithm. The authors show how these techniques provide simulation results of various compression techniques for different types of medical images, such as MRI, CT, US, and x-ray images. Future research directions are provided for medical imaging science. The book will be a welcomed reference for engineers, clinicians, and research students working with medical image compression in the biomedical imaging field. Covers various algorithms for data compression and medical image compression;Provides simulation results of compression algorithms for different types of medical images;Provides study of compressive sensing theory for compression of medical images.

Image and Video Compression for Multimedia Engineering

Автор: Shi
Название: Image and Video Compression for Multimedia Engineering
ISBN: 1138299596 ISBN-13(EAN): 9781138299597
Издательство: Taylor&Francis
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Цена: 22202.00 р.
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Описание: The latest edition provides a comprehensive foundation for image and video compression, featuring updated chapters and content, along with several new chapters and sections. It adheres to current international standards, including JPEG standard.

Novel Motion Anchoring Strategies for Wavelet-based Highly Scalable Video Compression

Автор: Dominic R?fenacht
Название: Novel Motion Anchoring Strategies for Wavelet-based Highly Scalable Video Compression
ISBN: 9811340978 ISBN-13(EAN): 9789811340970
Издательство: Springer
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Цена: 16769.00 р.
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Описание: A key element of any modern video codec is the efficient exploitation of temporal redundancy via motion-compensated prediction. In this book, a novel paradigm of representing and employing motion information in a video compression system is described that has several advantages over existing approaches. Traditionally, motion is estimated, modelled, and coded as a vector field at the target frame it predicts. While this “prediction-centric” approach is convenient, the fact that the motion is “attached” to a specific target frame implies that it cannot easily be re-purposed to predict or synthesize other frames, which severely hampers temporal scalability. In light of this, the present book explores the possibility of anchoring motion at reference frames instead. Key to the success of the proposed “reference-based” anchoring schemes is high quality motion inference, which is enabled by the use of a more “physical” motion representation than the traditionally employed “block” motion fields. The resulting compression system can support computationally efficient, high-quality temporal motion inference, which requires half as many coded motion fields as conventional codecs. Furthermore, “features” beyond compressibility — including high scalability, accessibility, and “intrinsic” framerate upsampling — can be seamlessly supported. These features are becoming ever more relevant as the way video is consumed continues shifting from the traditional broadcast scenario to interactive browsing of video content over heterogeneous networks.This book is of interest to researchers and professionals working in multimedia signal processing, in particular those who are interested in next-generation video compression. Two comprehensive background chapters on scalable video compression and temporal frame interpolation make the book accessible for students and newcomers to the field.


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