Real-Time Video Compression

1. Front Matter

   Pages i-vii

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2. The Problem of Video Compression

   Pages 1-13

3. The MPEG Video Compression Standard

   Pages 15-21

4. The H.261/H.263 Compression Standard for Video Telecommunications

   Pages 23-28

5. The XYZ Video Compression Algorithm

   Pages 29-36

6. Discrete Cosine Transform

   Pages 37-55

7. Quantization

   Pages 57-71

8. Entropy Coding

   Pages 73-81

9. VLSI Architectures for the XYZ Video Codec

   Pages 83-121

10. Experimental Results Using XYZ Compression

    Pages 123-149

11. Conclusion

    Pages 151-153

12. Back Matter

    Pages 155-164

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Real-Time Video Compression: Techniques and Algorithms introduces the XYZ video compression technique, which operates in three dimensions, eliminating the overhead of motion estimation. First, video compression standards, MPEG and H.261/H.263, are described. They both use asymmetric compression algorithms, based on motion estimation. Their encoders are much more complex than decoders. The XYZ technique uses a symmetric algorithm, based on the Three-Dimensional Discrete Cosine Transform (3D-DCT). 3D-DCT was originally suggested for compression about twenty years ago; however, at that time the computational complexity of the algorithm was too high, it required large buffer memory, and was not as effective as motion estimation. We have resurrected the 3D-DCT-based video compression algorithm by developing several enhancements to the original algorithm. These enhancements make the algorithm feasible for real-time video compression in applications such as video-on-demand, interactive multimedia, and videoconferencing. The demonstrated results, presented in this book, suggest that the XYZ video compression technique is not only a fast algorithm, but also provides superior compression ratios and high quality of the video compared to existing standard techniques, such as MPEG and H.261/H.263. The elegance of the XYZ technique is in its simplicity, which leads to inexpensive VLSI implementation of any XYZ codec.
Real-Time Video Compression: Techniques and Algorithms can be used as a text for graduate students and researchers working in the area of real-time video compression. In addition, the book serves as an essential reference for professionals in the field.

• Standard
• Standards
• VLSI
• Video-on-Demand
• algorithms
• architecture
• communication
• complexity
• entropy
• multimedia
• time
• video

• Florida Atlantic University, USA

  Raymond Westwater, Borko Furht

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