METHOD AND SYSTEM FOR OPTIMIZED DELTA ENCODING

• US 20130170762A1
• Filed: 12/28/2012
• Published: 07/04/2013
• 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
• Granted Patent: US 8,971,643 B2
• Time in Patent Office: Days
• US Class Current: 382/232
• 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

A method and system are described for preparing a batch of data sets for a batch processing using a predetermined correlation encoding operation. The batch of data sets may be analyzed to determine a plurality of correlation parameters representing degrees of correlation between member data sets of said batch of data sets. The correlation parameters may be used to generate an optimized correlation dependency graph of the member sets. The optimized correlation dependency graph may be used for performing the predetermined correlation encoding operation. By optimizing the correlation dependencies between data sets for subsequent processing, e.g. data compression, of the data sets, the advantages of correlation encoding may be used, even for data sets which appear a priori to be unordered and only weakly correlated.

Claims

1. A method for preparing a batch of data sets for batch processing, wherein the method comprises:

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

generating an optimized correlation dependency graph according to the plurality of correlation parameters.

2. The method of claim 1, wherein the plurality of correlation parameters are determined in accordance with one or more predetermined correlation metrics associated with a predetermined correlation encoding operation.

3. The method of claim 1, wherein the method comprises determining an optimized data subdivision of the batch of data sets.

4. The method of claim 1, wherein the method comprises determining an optimized correlation metric for determining a plurality of correlation parameters.

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

6. The method of claim 1, wherein the method comprises correlation encoding the batch of data sets in a sequence determined by the optimized correlation dependency graph.

7. The method of claim 6, wherein the correlation encoding operation generates a plurality of correlation-encoded delta sets for a predetermined data set processing operation.

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

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

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

11. A system for preparing a batch of data sets for batch processing, wherein the system comprises:

a processor operable to determine a plurality of correlation parameters representing degrees of correlation between two or more data sets in the batch of data sets, wherein the processor is operable to generate an optimized correlation dependency graph according to the plurality of correlation parameters; and

a memory operable to store the optimized correlation dependency graph.

12. The system of claim 11, wherein the processor is operable to determine the 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 the batch of data sets.

14. The system of claim 11, wherein the processor is operable to determine an optimized correlation metric.

15. The system of claim 11, wherein the processor is operable to generate an optimized correlation dependency graph that maximizes the plurality of correlation parameters.

16. The system of claim 11, wherein the processor is operable to perform correlation encoding on the batch of data sets in a sequence determined by the 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 the predetermined data set processing operation comprises delta encoding.

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

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