Image and video compression for multimedia engineering : fundamentals, algorithms, and standards / Yun Q. Shi, Huifang Sun.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- 9780849373640
- 006.7 22
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
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Main library General Stacks | 006.7 / SH.I 2008 (Browse shelf(Opens below)) | 1 | Available | 002982 |
Includes bibliographical references and index.
Quantization -- Differential Coding -- Transform Coding -- Variable-Length Coding: Information Theory Results -- Run-Length and Dictionary Coding: Information Theory Results -- Still Image Compression -- Still Image Coding: Standard JPEG -- Wavelet Transform for Image Coding: JPEG2000 -- Nonstandard Still Image Coding -- Motion Estimation and Compensation -- Motion Analysis and Motion Compensation -- Block Matching -- Pel-Recursive Technique -- Optical Flow -- Further Discussion and Summary on 2-D -- Motion Estimation -- Video Compression -- Fundamentals of Digital Video Coding -- Digital Video Coding Standards: MPEG-1/2 Video -- Application Issues of MPEG-1/2 Video Coding -- MPEG-4 Video Standard: Content-Based Video -- ITU-T Video Coding Standards H.261 and H.263 Coding -- A New Video Coding Standard: H.264=AVC -- MPEG System: Video, Audio, and Data Multiplexing.
Multimedia hardware still cannot accommodate the demand for large amounts of visual data. Without the generation of high-quality video bitstreams, limited hardware capabilities will continue to stifle the advancement of multimedia technologies. Thorough grounding in coding is needed so that applications such as MPEG-4 and JPEG 2000 may come to fruition. Image and Video Compression for Multimedia Engineering provides a solid, comprehensive understanding of the fundamentals and algorithms that lead to the creation of new methods for generating high quality video bit streams. The authors present a number of relevant advances along with international standards.
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