METHOD AND APPARATUS FOR ADVANCED ENCODER SYSTEM

• US 20010012324A1
• Filed: 03/09/1998
• Published: 08/09/2001
• Est. Priority Date: 03/09/1998
• Status: Active Grant

• Current Assignee: James Oliver Normile, LG Electronics, Inc. (LG Corporation)
• Original Assignee: James Oliver Normile, LG Electronics, Inc. (LG Corporation)
• Inventors: NORMILE, JAMES OLIVER
• Granted Patent: US 6,438,165 B2
• Time in Patent Office: Days
• US Class Current: 375/240.05
• CPC Class Codes: H04N 19/103 Selection of coding mode or of prediction mode
• CPC Class Codes: H04N 19/107 between spatial and temporal predictive coding, e.g. picture refresh
• 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 19/124 Quantisation
• CPC Class Codes: H04N 19/136 Incoming video signal characteristics or properties
• CPC Class Codes: H04N 19/14 Coding unit complexity, e.g. amount of activity or edge presence estimation H04N19/146 takes precedence
• CPC Class Codes: H04N 19/149 by estimating the code amount by means of a model, e.g. mathematical model or statistical model
• CPC Class Codes: H04N 19/15 by monitoring actual compressed data size at the memory before deciding storage at the transmission buffer
• CPC Class Codes: H04N 19/152 by measuring the fullness of the transmission buffer
• CPC Class Codes: H04N 19/166 concerning the amount of transmission errors, e.g. bit error rate [BER]
• CPC Class Codes: H04N 19/172 the region being a picture, frame or field
• CPC Class Codes: H04N 19/196 being specially adapted for the computation of encoding parameters, e.g. by averaging previously computed encoding parameters processing of motion vectors H04N19/513
• CPC Class Codes: H04N 19/198 including smoothing of a sequence of encoding parameters, e.g. by averaging, by choice of the maximum, minimum or median value
• CPC Class Codes: H04N 19/23 with coding of regions that are present throughout a whole video segment, e.g. sprites, background or mosaic
• CPC Class Codes: H04N 19/27 involving both synthetic and natural picture components, e.g. synthetic natural hybrid coding [SNHC]
• CPC Class Codes: H04N 19/503 involving temporal prediction adaptive coding with adaptive selection between spatial and temporal predictive coding H04N19/107; adaptive coding with adaptive selection among a plurality of temporal predictive coding modes H04N19/109
• CPC Class Codes: H04N 19/507 using conditional replenishment
• CPC Class Codes: H04N 19/51 Motion estimation or motion compensation
• CPC Class Codes: H04N 19/52 by predictive encoding
• CPC Class Codes: H04N 19/61 in combination with predictive coding
• CPC Class Codes: H04N 19/87 : involving scene cut or scene change detection in combination with video compression

Abstract

A system for encoding data blocks and methods of operating the same result in a video encoder that provides advanced intelligent encoding. The video encoder comprises DCT (discrete cosine transformer) resources configured to DCT the data blocks. Quantizing resources is coupled to the DCT resources configured to quantize the data blocks to provide quantized data blocks. Inverse quantizing resources is coupled to the quantizing resources to inverse quantize the quantized data blocks. Frame reconstruction resources is coupled to the inverse quantizing resources configured to reconstruct previous compressed frames. Motion estimation resources is coupled to the frame reconstruction resources configured to provide predicted data blocks. Subtraction resources is coupled to the DCT resources and the motion estimation resources to subtract the data blocks and the predicted data blocks. An output data buffer is coupled to the quantizing resources configured to provide a data rate signal to the quantizing resources for modifying quantizer values of the quantizing resources in order to maintain a particular target output data rate of the compressed image data.

Claims

1. A video encoder for encoding input images having a plurality of data blocks to provide compressed image data comprising:

DCT (discrete cosine transformer) resources configured to DCT the data blocks;

quantizing resources coupled to the DCT resources configured to quantize the data blocks to provide quantized data blocks;

inverse quantizing resources coupled to the quantizing resources to inverse quantize the quantized data blocks;

frame reconstruction resources coupled to the inverse quantizing resources configured to reconstruct previous compressed frames;

motion estimation resources coupled to the frame reconstruction resources configured to provide predicted data blocks;

subtraction resources coupled to the DCT resources and the motion estimation resources to subtract the data blocks and the predicted data blocks; and

an output data buffer coupled to the quantizing resources configured to provide a data rate signal to the quantizing resources for modifying quantizer values of the quantizing resources in order to maintain a particular target output data rate of the compressed image data.

2. The video encoder of

claim 1

further comprising image preclassifying resources coupled between the subtraction resources and the DCT resources configured to preclassify the data blocks as active and inactive regions wherein the quantizing resources responsive to preclassification of the data blocks limits quantizer values for the active regions.

3. The video encoder of

claim 1

, wherein the frame reconstruction resources includes an automatic scene change detector configured to determine whether to code inverse quantized data blocks as intra frames or predicted frames.

4. The video encoder of

claim 3

wherein the automatic scene change detector includes a scene similarity detector configured to compare an current frame with a previous frame to determine similarity between the previous frame and the current frame.

5. The video encoder of

claim 4

wherein the automatic scene change detector includes a frame comparator configured to provide a combination of distortion, differences in luminance, and color histogram information for comparing the previous frame with the current frame.

6. The video encoder of

claim 5

wherein the scene similarity detector directs the current frame to be encoded as an intra frame when the combination of distortion, differences in luminance, and color histogram information exceed an adaptively determined threshold.

7. The video encoder of

claim 1

, wherein the frame reconstruction resources includes a reference picture controller configured to determine whether to code inverse quantized data blocks based upon a reference frame or a previous frame.

8. The video encoder of

claim 7

, wherein the reference picture controller includes:

a frame comparator configured to compare a previous frame and a reference frame with a current frame to determine whether the previous frame or the reference frame is more similar to the current frame; and

a frame encoder coupled to the frame comparator configured to encode the current frame based on a selected more similar frame from the frame comparator.

9. The video encoder of

claim 8

, wherein the reference picture controller includes a reference picture store coupled to the frame encoder configured to receive updates of additional background information for the reference frame from the reference frame comparator.

10. The video encoder of

claim 9

, wherein the reference picture controller updates the reference picture store to include an intra frame whenever the current frame is encoded as the intra frame.

11. The video encoder of

claim 7

, wherein the reference picture controller includes a synthetic background generator which generates a synthetic background as the reference frame for encoding the current frame.

12. The video encoder of

claim 11

, wherein the synthetic background generator includes animation by a java applet.

13. The video encoder of

claim 1

, wherein the motion estimation resources constrains motion vectors to be smooth relative to each other.

14. The video encoder of

claim 13

, wherein the motion estimation resources includes:

a motion vector search engine configured to receive a previous frame and a current frame to search an optimal motion vector;

a motion vector biasor coupled to the motion vector search engine configured to bias the optimal motion vector to favor a direction consistent with that found in surrounding areas of the optimal motion vector and provide a modified distortion; and

a signal to noise ratio (SNR) comparator configured to compare SNR of additional motion vector searches performed by the motion vector search engine in a direction consistent with the optimal motion vector with the modified distortion to select the motion vector associated with minimum distortion.

15. A computer readable media video encoder for images having a plurality of data blocks comprising:

DCT (discrete cosine transformer) resources configured to DCT the data blocks;

quantizing resources coupled to the DCT resources configured to quantize the data blocks to provide quantized data blocks;

inverse quantizing resources coupled to the quantizing resources to inverse quantize the quantized data blocks;

frame reconstruction resources coupled to the inverse quantizing resources configured to determine whether to code inverse quantized data blocks as intra frames or predicted frames;

motion estimation resources coupled to the frame reconstruction resources configured to provide predicted data blocks which constrain motion vectors to be smooth relative to each other;

subtraction resources coupled to the DCT resources and the motion estimation resources to subtract the data blocks and the predicted data blocks; and

an output data buffer coupled to the quantizing resources configured to provide a data rate signal to the quantizing resources for modifying quantizer values of the quantizing resources in order to maintain a particular target output data rate of the compressed image data.

16. The computer readable media video encoder of

claim 15

, wherein the frame reconstruction resources includes a reference picture controller configured to determine whether to code inverse quantized data blocks based upon a reference frame or a current frame.

17. The computer readable media video encoder of

claim 16

, wherein the reference picture controller includes a synthetic background generator which generates a synthetic background based on animation by a java applet as the reference frame for encoding the current frame.

18. A method of encoding input images having a plurality of data blocks to provide output image data comprising the steps:

DCTing (discrete cosine transformer) data blocks to provide reduced data blocks;

quantizing the reduced data blocks to provide quantized data blocks;

inverse quantizing the quantized data blocks to provide inverse quantized data blocks;

detecting a scene change to code inverse quantized data blocks as intra frames;

constraining motion vectors to be smooth relative to each other in motion estimation to provide predicted data blocks; and

integrating the data blocks and the predicted data blocks to provide the output image data.

19. The method of encoding input images according to

claim 18

, wherein the step of detecting a scene change includes comparing a combination of distortion, differences in luminance, and color histogram information between a previous frame and a current frame

20. The method of encoding input images according to

claim 19

further comprising the step generating an animated background as a reference frame for encoding a current frame.