Method and system for video compression using an iterative encoding algorithm

• US 20070286277A1
• Filed: 06/13/2006
• Published: 12/13/2007
• Est. Priority Date: 06/13/2006
• Status: Abandoned Application

• Current Assignee: Avago Technologies General IP PTE Limited (Broadcom, Inc.)
• Original Assignee: Avago Technologies General IP PTE Limited (Broadcom, Inc.)
• Inventors: Chen, Xuemin (Sherman)
• Application Number:
  US11/451,850
• Publication Number:
  US 20070286277A1
• Time in Patent Office: Days
• US Class Current: 375/240.30
• CPC Class Codes: H04N 19/117 Filters, e.g. for pre-processing or post-processing sub-band filter banks H04N19/635
• CPC Class Codes: H04N 19/126 Details of normalisation or weighting functions, e.g. normalisation matrices or variable uniform quantisers
• CPC Class Codes: H04N 19/139 Analysis of motion vectors, e.g. their magnitude, direction, variance or reliability
• CPC Class Codes: H04N 19/146 Data rate or code amount at the encoder output
• CPC Class Codes: H04N 19/159 Prediction type, e.g. intra-frame, inter-frame or bidirectional frame prediction
• CPC Class Codes: H04N 19/174 the region being a slice, e.g. a line of blocks or a group of blocks
• CPC Class Codes: H04N 19/176 the region being a block, e.g. a macroblock
• CPC Class Codes: H04N 19/192 the adaptation method, adaptation tool or adaptation type being iterative or recursive
• CPC Class Codes: H04N 19/395 involving distributed video coding [DVC], e.g. Wyner-Ziv video coding or Slepian-Wolf video coding
• CPC Class Codes: H04N 19/52 by predictive encoding
• CPC Class Codes: H04N 19/61 in combination with predictive coding
• CPC Class Codes: H04N 19/82 involving filtering within a prediction loop
• CPC Class Codes: H04N 19/86 involving reduction of coding artifacts, e.g. of blockiness
• CPC Class Codes: H04N 19/89 involving methods or arrangements for detection of transmission errors at the decoder
• CPC Class Codes: H04N 19/91 Entropy coding, e.g. variable length coding [VLC] or arithmetic coding
• CPC Class Codes: H04N 19/94 Vector quantisation

Abstract

Certain aspects of a method and system for video compression using an iterative encoding algorithm are disclosed. Aspects of a method may include modifying dynamically, a coding rate of at least a portion of received video data based on at least one quantized vector, during bit rate compression of the received video data. At least one of the quantized vectors may be adaptively selected and transmitted to a decoder via a compressed bit stream.

Claims

1. A method for handling video data, the method comprising:

modifying dynamically, a coding rate of at least a portion of received video data based on at least one quantized vector, during compression of said received video data.

2. The method according to claim 1, further comprising scaling said at least one quantized vector for said received video data.

3. The method according to claim 1, further comprising adjusting, during said compression, said coding rate of said received video data utilizing at least one of:

pruned tree structure codes and shortened low-density parity check (LDPC) codes.

4. The method according to claim 1, further comprising loop filtering at least one macroblock of said received video data.

5. The method according to claim 1, further comprising:

dynamically selecting said at least one quantized vector during said compression; and

transmitting said selected said at least one quantized vector to a decoder via a compressed bit stream.

6. The method according to claim 5, further comprising generating said compressed bit stream after said compression of said received video data.

7. The method according to claim 1, further comprising indexing said at least one quantized vector.

8. The method according to claim 1, further comprising sorting said at least one quantized vector.

9. A machine-readable storage having stored thereon, a computer program having at least one code section for handling video data, the at least one code section being executable by a machine for causing the machine to perform steps comprising:

modifying dynamically, a coding rate of at least a portion of received video data based on at least one quantized vector, during compression of said received video data.

10. The machine-readable storage according to claim 9, further comprising code for scaling said at least one quantized vector for said received video data.

11. The machine-readable storage according to claim 9, further comprising code for adjusting, during said compression, said coding rate of said received video data utilizing at least one of:

pruned tree structure codes and shortened low-density parity check (LDPC) codes.

12. The machine-readable storage according to claim 9, further comprising code for loop filtering at least one macroblock of said received video data.

13. The machine-readable storage according to claim 9, further comprising:

code for dynamically selecting said at least one quantized vector during said compression; and

code for transmitting said selected said at least one quantized vector to a decoder via a compressed bit stream.

14. The machine-readable storage according to claim 13, further comprising code for generating said compressed bit stream after said compression of said received video data.

15. The machine-readable storage according to claim 9, further comprising code for indexing said at least one quantized vector.

16. The machine-readable storage according to claim 9, further comprising code for sorting said at least one quantized vector.

18. The system according to claim 16, wherein said circuitry enables scaling of said at least one quantized vector for said received video data.

19. The system according to claim 16, wherein said circuitry enables adjusting of said coding rate of said received video data during said compression, utilizing at least one of:

pruned tree structure codes and shortened low-density parity check (LDPC) codes.

20. The system according to claim 16, wherein said circuitry enables loop filtering at least one macroblock of said received video data.

21. The system according to claim 16, wherein said circuitry enables:

dynamic selection of said at least one quantized vector during said compression; and

transmission of said selected said at least one quantized vector to a decoder via a compressed bit stream.

22. The system according to claim 21, wherein said circuitry enables generation of said compressed bit stream after said compression of said received video data.

23. The system according to claim 16, wherein said circuitry enables indexing of said at least one quantized vector.

24. The system according to claim 16, wherein said circuitry enables sorting of said at least one quantized vector.

17. A system for handling video data, the system comprising:

circuitry that enables dynamic modification of a coding rate of at least a portion of received video data based on at least one quantized vector, during compression of said received video data.