By L. Hanzo, P. J. Cherriman, Dr. J. Streit(auth.)
Chapter 1 creation (pages 1–18):
Chapter 2 Fractal snapshot formats (pages 19–34):
Chapter three Low Bitrate DCT formats and HSDPA?style Videophone Transceivers (pages 35–92):
Chapter four Very Low Bitrate VQ formats and HSDPA?style Videophone Transceivers (pages 93–137):
Chapter five Low Bitrate Quad?Tree?Based formats and HSDPA?Style Videophone Transceivers (pages 139–169):
Chapter 6 Low?Complexity strategies (pages 171–203):
Chapter 7 High?Resolution DCT Coding (pages 205–235):
Chapter eight H.261 for HSDPA?Style instant Video Telephony (pages 237–294):
Chapter nine Comparative research of the H.261 and H.263 formats (pages 295–337):
Chapter 10 H.263 for HSDPA?Style instant Video Telephony (pages 339–377):
Chapter eleven MPEG?4 Video Compression (pages 379–406):
Chapter 12 Comparative learn of the MPEG?4 and H.264 formats (pages 407–435):
Chapter thirteen MPEG?4 Bitstream and Bit?Sensitivity learn (pages 437–457): J?Y. Chung and L. Hanzo
Chapter 14 HSDPA?Like and Turbo?Style Adaptive unmarried? and Multi?Carrier Video structures (pages 459–624): P. J. Cherriman, J?Y. Chung, L. Hanzo, T. Keller, E?L. Kuan, C. S. Lee, R. Maunder, S. X. Ng, S. Vlahoyiannatos, J. Wang and B. L. Yeap
Read or Download Video Compression and Communications: From Basics to H.261, H.263, H.264, MPEG4 for DVB and HSDPA-Style Adaptive Turbo-Transceivers, Second Edition PDF
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Additional resources for Video Compression and Communications: From Basics to H.261, H.263, H.264, MPEG4 for DVB and HSDPA-Style Adaptive Turbo-Transceivers, Second Edition
DB A now contains a step function. It is scaled and shifted again, and after this second iteration the original waveform is already recognizable. With every iteration the number of steps approximating the ramp-signal increases, whereas the step size shrinks. In this example, the encoder was able to find a perfect match for every RB, and hence after an infinite number of iterations the decoded signal yields the source signal. Having considered the basic fractal coding principles, let us now examine a range of fractal codec designs contrived for QCIF “head-and-shoulders” videophone sequences.
In order to encode the first RB, a similar pattern in the signal has to be found. In general, it is convenient to use a DB size, that is an integer multiple of the RB size, and here we opted for a double-length DB. Observe in the figure that RB1 could be represented by DB4 reasonably well, if DB4 were appropriately rotated and scaled using contractive affine transformations as follows. 3(d) in order to produce a waveform closely matching RB1. The amplitude-scaling, offset, and reflection parameters represent the IFS code of RB1.
The MSE of these subblocks was checked against the error threshold individually, and if necessary one or two 4 × 4 subblocks were coded in addition. However, for three or four poorly matching subblocks, the codec stored only the transforms for the four small quarter-sized subblocks. 3. In addition to Jacquin’s splitting technique , the subjectively important edge representation of Codecs D and E was improved by a block classification algorithm originally suggested by Ramamurthi and Gersho , which was then also advocated by Jacquin .