Optimal Prediction in Scalable Coding of Stereophonic Audio

Aggarwal A, Regunathan SL, Rose K. Optimal Prediction in Scalable Coding of Stereophonic Audio. In: AES Convention 109. Audio Engineering Society; 2000. Paper 5273. Available from: https://aes.org/publications/elibrary-page/?id=9065

@inproceedings{Aggarwal2000_9065,
  author = {Aggarwal, Ashish and Regunathan, Shankar L. and Rose, Kenneth},
  title = {{Optimal Prediction in Scalable Coding of Stereophonic Audio}},
  booktitle = {AES Convention 109},
  note = {Paper 5273},
  year = {2000},
  month = sep,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=9065}
}

TY  - CPAPER
TI  - Optimal Prediction in Scalable Coding of Stereophonic Audio
AU  - Aggarwal, Ashish
AU  - Regunathan, Shankar L.
AU  - Rose, Kenneth
T2  - AES Convention 109
M1  - Paper 5273
PY  - 2000
DA  - 2000/09/06
UR  - https://aes.org/publications/elibrary-page/?id=9065
PB  - Audio Engineering Society
LA  - en
AB  - An estimation-theoretic framework is proposed for prediction in scalable coding of stereophonic audio, which overcomes fundamental drawbacks of conventional prediction approaches. The framework offers the means to combine all the information available at the enhancement layer to produce the optimal signal estimate. The method efficiently exploits both interchannel and intrachannel redundancy without incurring additional side information. The proposed estimation-theoretic prediction is implemented within an MPEG-4-based scalable coder for stereophonic audio signals. Objective and subjective performance comparison on the MPEG-4 SQAM database shows that optimal prediction yields substantial bit-rate reduction while maintaining the same reproduction quality. The improvement is achieved at the cost of a modest increase in computational complexity.:
ER  -