Real-Time Video Compression

TRAMA

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.

SOMMARIO

The Problem of Video Compression.- The MPEG Video Compression Standard.- The H.261/H.263 Compression Standard for Video Telecommunications.- The XYZ Video Compression Algorithm.- Discrete Cosine Transform.- Quantization.- Entropy Coding.- VLSI Architectures for the XYZ Video Codec.- Experimental Results Using XYZ Compression.- Conclusion.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9780792397878
• Collana: The Springer International Series in Engineering and Computer Science
• Dimensioni: 234 x 156 mm
• Formato: Copertina rigida
• Illustration Notes: X, 164 p.
• Pagine Arabe: 164
• Pagine Romane: x