E. Ravelli, V. Melkote, T. Nanjundaswamy, and K. Rose, “Cross-Layer Rate-Distortion Optimization for Scalable Advanced Audio Coding,” in Proc. AES Convention 128, May 2010, Paper 8084. [Online]. Available: https://aes.org/publications/elibrary-page/?id=15381
Ravelli E, Melkote V, Nanjundaswamy T, Rose K. Cross-Layer Rate-Distortion Optimization for Scalable Advanced Audio Coding. In: AES Convention 128. Audio Engineering Society; 2010. Paper 8084. Available from: https://aes.org/publications/elibrary-page/?id=15381
@inproceedings{Ravelli2010_15381,
author = {Ravelli, Emmanuel and Melkote, Vinay and Nanjundaswamy, Tejaswi and Rose, Kenneth},
title = {{Cross-Layer Rate-Distortion Optimization for Scalable Advanced Audio Coding}},
booktitle = {AES Convention 128},
note = {Paper 8084},
year = {2010},
month = may,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=15381}
}
TY - CPAPER
TI - Cross-Layer Rate-Distortion Optimization for Scalable Advanced Audio Coding
AU - Ravelli, Emmanuel
AU - Melkote, Vinay
AU - Nanjundaswamy, Tejaswi
AU - Rose, Kenneth
T2 - AES Convention 128
M1 - Paper 8084
PY - 2010
DA - 2010/05/06
UR - https://aes.org/publications/elibrary-page/?id=15381
PB - Audio Engineering Society
LA - en
AB - Current scalable audio codecs optimize each layer of the bit-stream successively and independently with a straightforward application of the same rate-distortion optimization techniques employed in the non-scalable case. The main drawback of this approach is that the performance of the enhancement layers is significantly worse than that of the non-scalable codec at the same cumulative bit-rate. We propose in this paper a novel optimization technique in the Advanced Audio Coding (AAC) framework wherein a cross-layer iterative optimization is performed to select the encoding parameters for each layer with a conscious accounting of rate and distortion costs in all layers, which allows for a trade-off between performance at different layers. Subjective and objective results demonstrate the effectiveness of the proposed approach, and provide insights for bridging the gap with the non-scalable codec.
ER -