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Связанные темы: MULTIMEDIA communications, DATA compression (Telecommunication), CODING theory, WIRELESS communications, THREE-dimensional imaging, DATA transmission systems.
Связанные темы: MULTIMEDIA communications, DATA compression (Telecommunication), CODING theory, WIRELESS communications, THREE-dimensional imaging, DATA transmission systems, TELECOMMUNICATION systems. Для чтения онлайн в pdf нужно войти Для чтения онлайн в каталоге нужно войти. A Fractal Image Compression Method Based on Multi- Wavelet.
Compression for multimedia. Article · January 2009 with 5 Reads. October 2010 · Proceedings, ICIP. International Conference on Image Processing. How we measure 'reads'.
In signal processing, data compression, source coding, or bit-rate reduction involves encoding information using fewer bits than the original representation. Compression can be either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression reduces bits by removing unnecessary or less important information.
It provides an extensive introduction to the theory underlying today’s compression techniques with detailed instruction for their applications using several examples to explain the concepts. by Khalid Sayood P.
10 Multimedia Conferencing Standards 1. Introduction 1. . 20 for ISDN Videoconferencing 1. 1 The . 20 Standards Suite 1. 2 . 21 Multiplex 1. 3 System Control Protocol 1. 6 . 31 and . 43-Multipoint 1. Covers the full spectrum of multimedia compression standards including those for lossless data compression, speech coding, high-quality audio coding, still image compression, facsimile, and video compression.
Compression for Multimedia book. Published February 1st 2010 by Cambridge University Press (first published December 24th 2009). It presents comparisons of multimedia standards in terms of achieving known theoretical limits, whilst common a Providing a thorough theoretical understanding of lossy compression techniques for image, video, speech, and audio compression, this book also covers the key features of each system, as well as practical applications, implementation issues, and design trade-offs.
Multimedia Compression - Download as Powerpoint Presentation . pt . Presented for class Multimedia compression. Harinandan Srinivasamurthy Winter 2010 Agenda What is rate control? Rate control algorithms. Factors affecting rate control. ptx), PDF File . df), Text File . xt) or view presentation slides online. Presentation on rate control in . 64. Download as PPTX, PDF, TXT or read online from Scribd. Flag for inappropriate content.
Compression is in no way necessary Because multimedia is enormou. ay too large, needing too much storage and would swamp even the fastest network connections.
Compression is in no way necessary. Because multimedia is enormou. In fact it would swamp most storage devices as they cannot read the data fast enough so it can be displayed at the proper speed. Play an uncompressed 4K video file and you’d need a number of GB per second.
Welcome to the Multimedia Course: Multimedia System Standards. OER initiative for Building Collabrative Learning for Multimedia. Multimedia Basics. Multimedia Elements Multimedia Networks and Applications Quality of Service Multimedia Input & Output Technologies Multimedia Elements and File Formats Compression Techniques & its Principles Multimedia Communications Reference Models and Protocols. Broadband, ATM & FDDI Networks.
Compression for Multimedia
St Petersburg State University
Hardback (ISBN-13: 9780521114325)
Providing a thorough theoretical understanding of lossy compression techniques for image, video, speech, and audio compression, this book also covers the key features of each system, as well as practical applications, implementation issues, and design trade-offs. It presents comparisons of multimedia standards in terms of achieving known theoretical limits, whilst common and distinguishing features of the existing standards are explained and related to the background theory. There is detailed coverage of such topics as the H.264 video coding standard, low-complexity code-based vector quantizers, and the Blahut rate-distortion algorithm. Examples based on real multimedia data are also included, plus end-of-chapter problems to test understanding, algorithms that allow the reader to represent speech and audio signals efficiently, and an appendix on the basics of lossless coding. With an excellent balance of theory and practice, this book is ideal for undergraduate and graduate students, and is also a useful reference for practitioners.