By Institute of Electrical and Electronics Engineers
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Additional resources for IEEE Transaction on Circuits and Systems for Video Technology (December 2004)
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25] A. J. Ahumada and H. A. Peterson, “Luminance-model-based DCT quantization for image compression,” Proc. SPIE, vol. 1666, pp. 365–374, 1992. [26] A. Papoulis, Probability, Random Variables, and Stochastic Processes, 2nd ed. New York: McGraw-Hill, 1987. [27] J. P. Nolan, “Maximum likelihood estimation and diagnostics for stable distributions,” Dept. of Math. , Washingon, DC, June 1999. [28] J. R. Hernandez and F. Perez-Gonzalez, “Statistical analysis of watermarking schemes for copyright protection of still images,” Proc.
However if used too frequently, synchronization markers will also increase the bit rate. Use of bit reorganization algorithms such as error resilience entropy coding (EREC) [11], [12], which is an efficient alternative to the insertion of synchronization code, can reduce this overhead. It should be noted that even in EREC technique, the errors in one slot can propagate to the others, though the degradation in quality is somewhat alleviated by packetizing all bits to the fixed length slots with least redundancy.
One of such case is when an MB contains only one or two erroneous DCT blocks. 263 CODED VIDEO FOR WIRELESS NETWORKS 1303 Fig. 11. Percentage of correctly (solid line) and wrongly (dotted lines) detected erroneous MBs as a function of for luminance (y) and chrominance (U, V) components. (a) MB boundary analysis. (b) MB mean pixel value analysis. (c) DCT blocks inner boundary analysis. DCT block boundary parameter and the DCT block mean pixel parameter . An MB is considered erroneous if both of these parameters are larger than their respective relative thresholds.