Title :
Robust MPEG-2 SNR scalable coding using variable end-of-block
Author :
Hasimoto-Beltràn, Rogelio ; Khokhar, Ashfaq A.
Author_Institution :
Center for Res. in Math., Guanajuato, Mexico
Abstract :
Signal-to-noise ratio (SNR) scalable coding over priority networks has been used as a robust mechanism to transmission errors, since the most important information (base layer) can be sent over an error free channel as in the case of ATM networks or over protected channel as in the case of IP networks. SNR scalability ensures a minimum video quality at the receiver end by sacrificing the least important information (enhancement layer) when losses occur. However, one disadvantage of scalable coding is its lower compression performance with respect to the one-layer encoding (∼10-15%, (D. Wilson and M. Ghanbari, 1999)). In this work, we propose an error resilient scheme for MPEG-2 SNR scalable video transmission that is compression efficient, in addition to providing scalable error resynchronization mechanism to enhancement layer that impedes the propagation of errors beyond the physically affected area in the bitstream. In order to provide robustness to errors during transmission, the proposed scheme uses triangular coding in the transform domain (R. Hasimoto-Beltran et al., 2000) and a modified variable end of block based on the number of bits per unit of block. Our scheme yields significantly better compression ratios compared to the MPEG-2 standard (3% to 6.7%) while at the same time improves considerably the quality of the received data (2-11 db) under different conditions of data losses.
Keywords :
asynchronous transfer mode; data compression; synchronisation; video coding; ATM networks; IP networks; MPEG-2; data losses; enhancement layer; error free channel; error resilient; priority networks; resynchronization mechanism; scalable coding; signal-to-noise ratio; transmission errors; triangular coding; variable end-of-block; video quality; video transmission; Bandwidth; Decoding; Degradation; Image coding; Mathematics; Propagation losses; Robustness; Scalability; Transform coding; Video compression;
Conference_Titel :
Computer Science, 2004. ENC 2004. Proceedings of the Fifth Mexican International Conference in
Print_ISBN :
0-7695-2160-6
DOI :
10.1109/ENC.2004.1342600