Measuring and using reliability of complexity estimates during quality and rate control for digital audio

• US 7,277,848 B2
• Filed: 02/24/2005
• Issued: 10/02/2007
• Est. Priority Date: 12/14/2001
• Status: Expired due to Fees

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Lee, Ming-Chieh, Thumpudi, Naveen, Chen, Wei-Ge
• Primary Examiner(s): Storm; Donald L.
• Application Number:
  US11/066,859
• Publication Number:
  US 20050177367A1
• Time in Patent Office: 950 Days
• Field of Search: None
• US Class Current: 704/227
• CPC Class Codes: G10L 19/002 Dynamic bit allocation for perceptual audio coders G10L19/032
• CPC Class Codes: G10L 19/24 Variable rate codecs, e.g. for generating different qualities using a scalable representation such as hierarchical encoding or layered encoding

Abstract

An audio encoder regulates quality and bitrate with a control strategy. The strategy includes several features. First, an encoder regulates quantization using quality, minimum bit count, and maximum bit count parameters. Second, an encoder regulates quantization using a noise measure that indicates reliability of a complexity measure. Third, an encoder normalizes a control parameter value according to block size for a variable-size block. Fourth, an encoder uses a bit-count control loop de-linked from a quality control loop. Fifth, an encoder addresses non-monotonicity of quality measurement as a function of quantization level when selecting a quantization level. Sixth, an encoder uses particular interpolation rules to find a quantization level In a quality or bit-count control loop. Seventh, an encoder filters a control parameter value to smooth quality. Eighth, an encoder corrects model bias by adjusting a control parameter value in view of current buffer fullness.

Claims

1. In an audio encoder, a computer-implemented method comprising:

encoding audio information, wherein the encoding includes;

computing a value of a control parameter for a block of spectral coefficients for the audio information, wherein the control parameter is based at least in part upon one or more complexity estimate noise measures, and wherein each of the one or more complexity estimate noise measures affects weight given to a corresponding complexity estimate in the computing the value of the control parameter; and

quantizing the block, wherein the value of the control parameter at least in part regulates the quantizing; and

outputting the encoded audio information as part of an encoded audio bitstream.

2. The method of claim 1 wherein a first measure of the one or more complexity estimate noise measures indicates reliability of complexity estimation for one or more future blocks of spectral coefficients for the audio information.

3. The method of claim 1 wherein a first measure of the one or more complexity estimate noise measures indicates reliability of complexity estimation for one or more past blocks of spectral coefficients for the audio information.

4. The method of claim 1 wherein a first measure of the one or more complexity estimate noise measures indicates reliability of complexity estimation for one or more future blocks of spectral coefficients for the audio information, and wherein a second measure of the one or more complexity estimate noise measures indicates reliability of complexity estimation for one or more past blocks of spectral coefficients for the audio information.

5. The method of claim 1 wherein the control parameter is a target quality parameter.

6. The method of claim 1 further comprising:

computing the one or more complexity estimate noise measures, including computing a first measure of noise in a first complexity estimate.

7. The method of claim 6 wherein the computing the one or more complexity estimate noise measures further includes lowpass filtering the first measure as part of a sequence.

8. An audio encoder comprising:

means for computing a value of a control parameter for audio information, wherein the control parameter is based at least in part upon one or more reliability measures for complexity estimates, and wherein each of the one or more reliability measures affects weight given to a corresponding one of the complexity estimates in the computing the value of the control parameter; and

a quantizer for quantizing the audio information, wherein the value of the control parameter at least in part regulates the quantizer.

9. The audio encoder of claim 8 further comprising:

means for computing the one or more reliability measures based upon noise in the complexity estimates.

10. The audio encoder of claim 8 wherein the complexity estimates include past complexity estimates, the encoder further comprising:

a past complexity estimator for computing the past complexity estimates.

11. The audio encoder of claim 8 wherein the complexity estimates include future complexity estimates, the encoder further comprising:

a future complexity estimator for computing the future complexity estimates.

12. The audio encoder of claim 8 wherein the complexity estimates include past complexity estimates and future complexity estimates, the encoder further comprising:

a past complexity estimator for computing the past complexity estimates; and

a future complexity estimator for computing the future complexity estimates.

13. A computer-readable storage medium storing computer-executable instructions for causing a computer system programmed thereby to perform a method comprising:

computing a value of a control parameter for a block of spectral audio information, wherein the control parameter is based at least in part upon one or more complexity estimate noise measures, and wherein each of the one or more complexity estimate noise measures affects weight given to a corresponding complexity estimate in the computing the value of the control parameter; and

quantizing the block, wherein the value of the control parameter at least in part regulates the quantizing.

14. The computer-readable storage medium of claim 13, wherein a first measure of the one or more complexity estimate noise measures indicates reliability of complexity estimation for one or more future blocks of spectral audio information.

15. The computer-readable storage medium of claim 13, wherein a first measure of the one or more complexity estimate noise measures indicates reliability of complexity estimation for one or more past blocks of spectral audio information.

16. The computer-readable storage medium of claim 13, wherein a first measure of the one or more complexity estimate noise measures indicates reliability of complexity estimation for one or more future blocks of spectral audio information, and wherein a second measure of the one or more complexity estimate noise measures indicates reliability of complexity estimation for one or more past blocks of spectral audio information.

17. The computer-readable storage medium of claim 13, wherein the control parameter is a target quality parameter.

18. The computer-readable storage medium of claim 13, wherein the method further comprises computing the one or more complexity estimate noise measures, including computing a first measure of noise in a first complexity estimate and lowpass filtering the first measure as part of a sequence.

19. In an audio encoder, a computer-implemented method comprising:

encoding audio information, wherein the encoding includes;

computing one or more complexity estimate noise measures, including computing a first measure of noise in a first complexity estimate, wherein the computing the one or more complexity estimate noise measures further includes lowpass filtering the first measure as part of a sequence;

computing a value of a control parameter for a block of spectral coefficients for the audio information, wherein the control parameter is based at least in part upon the one or more complexity estimate noise measures; and

quantizing the block, wherein the value of the control parameter at least in part regulates the quantizing;

outputting the encoded audio information as part of an encoded audio bitstream.

20. The method of claim 19 wherein a first complexity estimate noise measure of the one or more complexity estimate noise measures indicates reliability of complexity estimation for one or more future blocks of spectral coefficients for the audio information.

21. The method of claim 19 wherein a first complexity estimate noise measure of the one or more complexity estimate noise measures indicates reliability of complexity estimation for one or more past blocks of spectral coefficients for the audio information.

22. The method of claim 19 wherein a first complexity estimate noise measure of the one or more complexity estimate noise measures indicates reliability of complexity estimation for one or more future blocks of spectral coefficients for the audio information, and wherein a second complexity estimate noise measure of the one or more complexity estimate noise measures indicates reliability of complexity estimation for one or more past blocks of spectral coefficients for the audio information.

23. The method of claim 19 wherein the control parameter is a target quality parameter.

24. A computer-readable storage medium storing computer-executable instructions for causing a computer system programmed thereby to perform a method comprising:

computing one or more complexity estimate noise measures, including;

computing a first measure of noise in a first complexity estimate, and

lowpass filtering the first measure as part of a sequence;

computing a value of a control parameter for a block of spectral audio information, wherein the control parameter is based at least in part upon the one or more complexity estimate noise measures; and

quantizing the block, wherein the value of the control parameter at least in part regulates the quantizing.

25. The computer-readable storage medium of claim 24, wherein a first complexity estimate noise measure of the one or more complexity estimate noise measures indicates reliability of complexity estimation for one or more future blocks of spectral audio information.

26. The computer-readable storage medium of claim 24, wherein a first complexity estimate noise measure of the one or more complexity estimate noise measures indicates reliability of complexity estimation for one or more past blocks of spectral audio information.

27. The computer-readable storage medium of claim 24, wherein a first complexity estimate noise measure of the one or more complexity estimate noise measures indicates reliability of complexity estimation for one or more future blocks of spectral audio information, and wherein a second complexity estimate noise measure of the one or more complexity estimate noise measures indicates reliability of complexity estimation for one or more past blocks of spectral audio information.

28. The computer-readable storage medium of claim 24, wherein the control parameter is a target quality parameter.