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.
