POWER-BASED AND TARGET-BASED GRAPHICS QUALITY ADJUSTMENT

• US 20180300839A1
• Filed: 04/17/2017
• Published: 10/18/2018
• Est. Priority Date: 04/17/2017
• Status: Active Grant

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Appu, Abhishek R., Baran, Stanley J., Lee, Sang-Hee, Mohammed, Atthar H., Oh, Jong Dae, Chan, Hiu-Fai R., Boyce, Jill M., Fu, Fangwen, Yedidi, Satya N., Mohan, Sumit, Holland, James M., Rowe, Keith W., Koker, Altug
• Granted Patent: US 10,402,932 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 1/3206 Monitoring of events, devices or parameters that trigger a change in power modality
• CPC Class Codes: G06F 1/3212 Monitoring battery levels, e.g. power saving mode being initiated when battery voltage goes below a certain level
• CPC Class Codes: G06F 1/3265 Power saving in display device
• CPC Class Codes: G06T 1/20 Processor architectures; Processor configuration, e.g. pipelining
• CPC Class Codes: G06T 1/60 Memory management
• CPC Class Codes: G06T 2200/16 involving adaptation to the client's capabilities
• CPC Class Codes: G06T 2210/52 Parallel processing
• CPC Class Codes: G09G 2330/021 Power management, e.g. power saving
• CPC Class Codes: G09G 2340/0407 Resolution change, inclusive of the use of different resolutions for different screen areas
• CPC Class Codes: G09G 5/006 Details of the interface to the display terminal specific for a display terminal using a CRT G09G1/167; using a flat panel G09G3/2096; circuits for interfacing with colour displays G09G5/04
• CPC Class Codes: H04N 19/156 Availability of hardware or computational resources, e.g. encoding based on power-saving criteria
• CPC Class Codes: Y02D 10/00 Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

An embodiment of an electronic processing system may include an application processor, persistent storage media communicatively coupled to the application processor, a graphics subsystem communicatively coupled to the application processor, a power budget analyzer to identify a power budget for one or more of the application processor, the persistent storage media, and the graphics subsystem, a target analyzer communicatively coupled to the graphics subsystem to identify a target for the graphics subsystem, and a parameter adjuster to adjust one or more parameters of the graphics subsystem based on one or more of the identified power budget and the identified target.

Claims

1. An electronic processing system, comprising:

an application processor;

persistent storage media communicatively coupled to the application processor;

a graphics subsystem communicatively coupled to the application processor;

a power budget analyzer communicatively coupled to the application processor, the persistent storage media, and the graphics subsystem to identify a power budget for one or more of the application processor, the persistent storage media, and the graphics subsystem;

a target analyzer communicatively coupled to the graphics subsystem to identify a target for the graphics subsystem; and

a parameter adjuster to adjust one or more frame process parameters of the graphics subsystem based on one or more of the identified power budget and the identified target.

2. The electronic processing system of claim 1, wherein the one or more frame process parameters include one or more of an image tuning parameter, a bitrate, an image quality parameter, a motion vector search region, a block size, and a complexity parameter.

3. The electronic processing system of claim 1, wherein the identified target includes a video analytics target.

4. A graphics apparatus, comprising:

a power budget analyzer to identify a power budget for a graphics system; and

a parameter adjuster communicatively coupled to the power budget analyzer to adjust one or more frame process parameters of the graphics system based on the identified power budget.

5. The apparatus of claim 4, wherein the one or more frame process parameters include one or more of an image tuning parameter, a bitrate, an image quality parameter, a motion vector search region, a block size, and a complexity parameter.

6. The apparatus of claim 4, wherein the parameter adjuster is further to:

compare the identified power budget to a budget threshold; and

adjust an image tuning parameter of the graphics system based on the comparison of the identified power budget and the budget threshold.

7. The apparatus of claim 6, wherein the parameter adjuster is further to:

compare a frame encode time to a budget time threshold; and

reduce a bitrate if the frame encode time exceeds the budget time threshold.

8. The apparatus of claim 6, wherein the parameter adjuster is further to:

adjust a block size of a motion vector search based on the comparison of the identified power budget and the budget threshold.

9. The apparatus of claim 4, further comprising:

a target analyzer communicatively coupled to the parameter adjuster to identify a target for the graphics system, wherein the parameter adjuster is further to adjust one or more encode parameters of the graphics system based on the identified target.

10. The apparatus of claim 9, wherein the identified target includes a video analytics target.

11. A method of adjusting a graphics parameter, comprising:

identifying a power budget for a graphics system; and

adjusting one or more frame process parameters of the graphics system based on the identified power budget.

12. The method of claim 11, wherein the one or more frame process parameters include one or more of an image tuning parameter, a bitrate, an image quality parameter, a motion vector search region, a block size, and a complexity parameter.

13. The method of claim 11, further comprising:

comparing the identified power budget to a budget threshold; and

adjusting an image tuning parameter of the graphics system based on the comparison of the identified power budget and the budget threshold.

14. The method of claim 13, further comprising:

comparing a frame encode time to a budget time threshold; and

reducing a bitrate if the frame encode time exceeds the budget time threshold.

15. The method of claim 13, further comprising:

adjusting a block size of a motion vector search based on the comparison of the identified power budget and the budget threshold.

16. The method of claim 11, further comprising:

identifying a target for the graphics system; and

adjusting one or more encode parameters of the graphics system based on the identified target.

17. The method of claim 16, wherein the identified target includes a video analytics target.

18. At least one computer readable medium, comprising a set of instructions, which when executed by a computing device cause the computing device to:

identify a power budget for a graphics system; and

adjust one or more frame process parameters of the graphics system based on the identified power budget.

19. The at least one computer readable medium of claim 18, wherein the one or more frame process parameters include one or more of an image tuning parameter, a bitrate, an image quality parameter, a motion vector search region, a block size, and a complexity parameter.

20. The at least one computer readable medium of claim 18, comprising a further set of instructions, which when executed by a computing device cause the computing device to:

compare the identified power budget to a budget threshold; and

adjust an image tuning parameter of the graphics system based on the comparison of the identified power budget and the budget threshold.

21. The at least one computer readable medium of claim 20, comprising a further set of instructions, which when executed by a computing device cause the computing device to:

compare a frame encode time to a budget time threshold; and

reduce a bitrate if the frame encode time exceeds the budget time threshold.

22. The at least one computer readable medium of claim 20, comprising a further set of instructions, which when executed by a computing device cause the computing device to:

adjust a block size of a motion vector search based on the comparison of the identified power budget and the budget threshold.

23. The at least one computer readable medium of claim 18, comprising a further set of instructions, which when executed by a computing device cause the computing device to:

identify a target for the graphics system; and

adjust one or more encode parameters of the graphics system based on the identified target.

24. The at least one computer readable medium of claim 23, wherein the identified target includes a video analytics target.