Method and system for optimized delta encoding

• US 9,420,298 B2
• Filed: 01/27/2015
• Issued: 08/16/2016
• Est. Priority Date: 12/29/2011
• Status: Active Grant

• Current Assignee: InterDigital Patent Holdings, Inc. (InterDigital, Inc.)
• Original Assignee: Swisscom AG (Government of Switzerland)
• Inventors: Marti, Urs-Viktor, Schlauss, Denis, Hohl, Lukas, Herrmann, Beat
• Primary Examiner(s): Akhavannik, Hadi
• Application Number:
  US14/606,797
• Publication Number:
  US 20150139564A1
• Time in Patent Office: 567 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: H04N 19/105 Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
• CPC Class Codes: H04N 19/114 Adapting the group of pictures [GOP] structure, e.g. number of B-frames between two anchor frames H04N19/107 takes precedence
• CPC Class Codes: H04N 19/119 Adaptive subdivision aspects, e.g. subdivision of a picture into rectangular or non-rectangular coding blocks
• CPC Class Codes: H04N 19/136 Incoming video signal characteristics or properties
• CPC Class Codes: H04N 19/172 the region being a picture, frame or field
• CPC Class Codes: H04N 19/177 the unit being a group of pictures [GOP]
• CPC Class Codes: H04N 19/50 using predictive coding H04N19/61 takes precedence
• CPC Class Codes: H04N 19/88 involving rearrangement of data among different coding units, e.g. shuffling, interleaving, scrambling or permutation of pixel data or permutation of transform coefficient data among different blocks
• CPC Class Codes: H04N 19/90 using coding techniques not provided for in groups H04N19/10-H04N19/85, e.g. fractals

Abstract

Methods and systems are provided for batch processing. A plurality of correlation parameters representing degrees of correlation between two or more data sets in a first batch of data sets may be determined, and an optimized correlation dependency graph may be generated according to the plurality of correlation parameters. A second batch of data sets may then be encoded according to the optimized correlation dependency graph. For example, the optimized correlation dependency graph may be used for performing a predetermined correlation encoding operation. The plurality of correlation parameters may be determined, for example, in accordance with one or more predetermined correlation metrics associated with a predetermined correlation encoding operation.

Claims

1. A method for batch processing, the method comprising:

determining a plurality of correlation parameters representing degrees of correlation between two or more data sets in a first batch of data sets;

generating an optimized correlation dependency graph according to said plurality of correlation parameters; and

encoding a second batch of data sets according to said optimized correlation dependency graph.

2. The method of claim 1, comprising determining said plurality of correlation parameters in accordance with one or more predetermined correlation metrics associated with a predetermined correlation encoding operation.

3. The method of claim 1, comprising determining an optimized data subdivision of said first batch of data sets.

4. The method of claim 1, comprising determining an optimized correlation metric for determining said plurality of correlation parameters.

5. The method of claim 1, wherein said optimized correlation dependency graph indicates a maximum of said plurality of correlation parameters.

6. The method of claim 1, comprising performing correlation encoding on said second batch of data sets in a sequence determined by said optimized correlation dependency graph.

7. The method of claim 1, comprising generating a plurality of correlation-encoded delta sets for a predetermined data set processing operation.

8. The method of claim 7, wherein said predetermined data set processing operation comprises delta encoding.

9. The method of claim 7, wherein said predetermined data set processing operation comprises correlation analysis of said plurality of correlation-encoded delta sets.

10. The method of claim 7, wherein said predetermined data set processing operation comprises correlation optimization of said plurality of correlation-encoded delta sets.

11. A system for batch processing, the system comprising:

a processor that is operable to;

determine a plurality of correlation parameters representing degrees of correlation between two or more data sets in a first batch of data sets;

generate an optimized correlation dependency graph according to said plurality of correlation parameters; and

encode a second batch of data sets based on said optimized correlation dependency graph.

12. The system of claim 11, wherein the processor is operable to determine said plurality of correlation parameters in accordance with one or more predetermined correlation metrics associated with a predetermined correlation encoding operation.

13. The system of claim 11, wherein the processor is operable to determine an optimized data subdivision of said first batch of data sets.

14. The system of claim 11, wherein the processor is operable to determine an optimized correlation metric for determining said plurality of correlation parameters.

15. The system of claim 11, wherein the processor is operable to generate said optimized correlation dependency graph to indicate a maximum of said plurality of correlation parameters.

16. The system of claim 11, wherein the processor is operable to perform correlation encoding on said second batch of data sets in a sequence determined by said optimized correlation dependency graph.

17. The system of claim 11, wherein the processor is operable to generate a plurality of correlation-encoded delta sets for performing a predetermined data set processing operation.

18. The system of claim 17, wherein said predetermined data set processing operation comprises delta encoding.

19. The system of claim 18, wherein said predetermined data set processing operation comprises correlation analysis of said plurality of correlation-encoded delta sets.

20. The system of claim 18, wherein said predetermined data set processing operation comprises correlation optimization of said plurality of correlation-encoded delta sets.