IP Library › Granted Patent US 11,381,818
Granted Patent B2
US 11,381,818 · App. 16/918,069 · Granted Jul 5, 2022

Methods and apparatus for determining quantization parameter predictors from a plurality of neighboring quantization parameters

Inventors: Xiaoan Lu (Princeton, NJ); Joel Sole (San Diego, CA); Peng Yin (Ithaca, NY); Qian Xu (Folsom, CA); Yunfei Zheng (San Jose, CA)
Assignee: INTERDIGITAL VC HOLDINGS, INC.
H04N19/124G06V10/20G06V10/469H04N19/126H04N19/157H04N19/174H04N19/176H04N19/196H04N19/197H04N19/198H04N19/51H04N19/513H04N19/593H04N19/61H04N19/139H04N19/52
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Quick Facts
Patent No.
US 11,381,818
App. No.
16/918,069
Granted
Jul 5, 2022
Kind
B2
Abstract

Methods and apparatus are provided for determining quantization parameter predictors from a plurality of neighboring quantization parameters. An apparatus includes an encoder for encoding image data for at least a portion of a picture using a quantization parameter predictor for a current quantization parameter to be applied to the image data. The quantization parameter predictor is determined using multiple quantization parameters from previously coded neighboring portions. A difference between the current quantization parameter and the quantization parameter predictor is encoded for signaling to a corresponding decoder.

Claims (38)

1. A method, comprising:

encoding image data for at least a portion of a picture using a quantization parameter predictor for a current quantization parameter to be applied to the image data, the quantization parameter predictor being determined using multiple quantization parameters from previously coded neighboring portions, and

encoding a difference between the current quantization parameter and the quantization parameter predictor for signaling to a corresponding decoder,

wherein said quantization parameter predictor is determined by finding a mean of the quantization parameters of the previously coded neighboring portion to the left and the previously coded neighboring portion above the portion currently being encoded when these neighboring portions are available, and

if at least one of said neighboring portions is not available, the quantization parameter predictor is determined as a mean of quantization parameters of any of said neighboring portions that are available and a quantization parameter for a current slice.

2. The method of claim 1 , wherein the quantization parameter predictor is selected from one or more quantization parameters corresponding to a same portion of the picture as that used for a motion vector prediction, the one or more quantization parameters being among the multiple quantization parameters.

3. The method of claim 2 , wherein a motion vector competition is used to determine the motion vector predictor.

4. The method of claim 1 , wherein the image data is a transform unit, and the difference between the current quantization parameter and the quantization parameter predictor is only encoded when the transform unit includes non-zero coefficients.

5. A method, comprising:

decoding image data for at least a portion of a picture using a quantization parameter predictor for a current quantization parameter to be applied to the image data, the quantization parameter predictor being determined using multiple quantization parameters from previously decoded neighboring portions; and

decoding a difference between the current quantization parameter and the quantization parameter predictor for use in decoding the image data, and

wherein said quantization parameter predictor is determined by finding a mean of the quantization parameters of the previously decoded neighboring portion to the left and the previously decoded neighboring portion above the portion currently being decoded when these neighboring portions are available, and

if at least one of said neighboring portions is not available, the quantization parameter predictor is determined as a mean of quantization parameters of any of said neighboring portions that are available and a quantization parameter for a current slice.

6. The method of claim 5 , wherein the quantization parameter predictor is selected from one or more quantization parameters corresponding to a same portion of the picture as that used for a motion vector prediction, the one or more quantization parameters being among the multiple quantization parameters.

7. The method of claim 6 , wherein a motion vector competition is used to determine the motion vector predictor.

8. The method of claim 5 , wherein the image data is a transform unit, and the difference between the current quantization parameter and the quantization parameter predictor is only decoded when the transform unit includes non-zero coefficients.

9. A non-transitory computer readable storage media having a computer program stored therein, when the computer program is executed by a processor, causing the processor to implement the method of claim 1 .

10. An apparatus, comprising:

a memory and a processor, configured to perform:

encoding image data for at least a portion of a picture using a quantization parameter predictor for a current quantization parameter to be applied to the image data, the quantization parameter predictor being determined using multiple quantization parameters from previously coded neighboring portions, and

encoding a difference between the current quantization parameter and the quantization parameter predictor for signaling to a corresponding decoder,

wherein said quantization parameter predictor is determined by finding a mean of the quantization parameters of the previously coded neighboring portion to the left and the previously coded neighboring portion above the portion currently being encoded when these neighboring portions are available, and

if at least one of said neighboring portions is not available, the quantization parameter predictor is determined as a mean of quantization parameters of any of said neighboring portions that are available and a quantization parameter for a current slice.

11. The apparatus of claim 10 , wherein the quantization parameter predictor is selected from one or more quantization parameters corresponding to a same portion of the picture as that used for a motion vector prediction, the one or more quantization parameters being among the multiple quantization parameters.

12. The apparatus of claim 11 , wherein a motion vector competition is used to determine the motion vector predictor.

13. The apparatus of claim 10 , wherein the image data is a transform unit, and the difference between the current quantization parameter and the quantization parameter predictor is only encoded when the transform unit includes non-zero coefficients.

14. A non-transitory computer readable storage media having instructions stored thereupon, wherein said instructions, operating on image data cause a processor to perform:

encoding image data for at least a portion of a picture using a quantization parameter predictor for a current quantization parameter to be applied to the image data, the quantization parameter predictor being determined using multiple quantization parameters from previously coded neighboring portions, and

encoding a difference between the current quantization parameter and the quantization parameter predictor for signaling to a corresponding decoder,

wherein said quantization parameter predictor is determined by finding a mean of the quantization parameters of the previously coded neighboring portion to the left and the previously coded neighboring portion above the portion currently being encoded when these neighboring portions are available, and

if at least one of said neighboring portions is not available, the quantization parameter predictor is determined as a mean of quantization parameters of any of said neighboring portions that are available and a quantization parameter for a current slice.

15. The non-transitory computer readable media of claim 14 , wherein the quantization parameter predictor is selected from one or more quantization parameters corresponding to a same portion of the picture as that used for a motion vector prediction, the one or more quantization parameters being among the multiple quantization parameters.

16. A non-transitory computer readable storage media having instructions stored thereupon, wherein said instructions, operating on image data cause a processor to perform:

decoding image data for at least a portion of a picture using a quantization parameter predictor for a current quantization parameter to be applied to the image data, the quantization parameter predictor being determined using multiple quantization parameters from previously decoded neighboring portions; and

decoding a difference between the current quantization parameter and the quantization parameter predictor for use in decoding the image data, and

wherein said quantization parameter predictor is determined by finding a mean of the quantization parameters of the previously decoded neighboring portion to the left and the previously decoded neighboring portion above the portion currently being decoded when these neighboring portions are available, and

if at least one of said neighboring portions is not available, the quantization parameter predictor is determined as a mean of quantization parameters of any of said neighboring portions that are available and a quantization parameter for a current slice.

17. The non-transitory computer readable media of claim 16 , wherein the quantization parameter predictor is selected from one or more quantization parameters corresponding to a same portion of the picture as that used for a motion vector prediction, the one or more quantization parameters being among the multiple quantization parameters.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 8, 2020
From: LU, XIAOAN; SOLE, JOEL; YIN, PENG; XU, QIAN; ZHENG, YUNFEI
To: THOMSON LICENSING
Reel/Frame 053155/0770 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 8, 2020
From: THOMSON LICENSING
To: INTERDIGITAL VC HOLDINGS, INC.
Reel/Frame 053155/0782 →
Continuity (7)
Continuation 16720609 · Dec 19, 2019
Continuation 16408956 · May 10, 2019
Continuation 15654823 · Jul 20, 2017
Continuation 14971394 · Dec 16, 2015
Continuation 13702519
Provisional Application 61353365 · Jun 10, 2010
Related Publication 20200396456A1 · Dec 17, 2020
Cited By (1)
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