Irina Bocharova

Compression for Multimedia (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 24. Dezember 2009
• Englisch
• ISBN-13: 9780511763755
• Artikelnr.: 38189034

Autorenporträt

Irina Bocharova is an Associate Professor at the Saint-Petersburg State University of Information Technologies, Mechanics and Optics. She has published over 50 technical papers and is the co-inventor of seven US patents in speech, video and audio coding. Her current research interests include convolutional codes, communication systems, source coding and its applications to speech, audio and image coding.

Inhaltsangabe

Preface
1. Introduction
2. Analog to digital conversion
3. Elements of rate-distortion theory
4. Scalar quantization with memory
5. Transform coding
6. Filter banks and wavelet filtering
7. Speech coding: techniques and standards
8. Image coding standards
9. Video-coding standards
10. Audio-coding standards
Appendix. Lossless-coding techniques
References
Index.