Power-based and target-based graphics quality adjustment

• US 10,402,932 B2
• Filed: 04/17/2017
• Issued: 09/03/2019
• 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
• Primary Examiner(s): McCulley, Ryan
• Application Number:
  US15/488,569
• Publication Number:
  US 20180300839A1
• Time in Patent Office: 869 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 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 the identified power budget and the identified target;

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

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

wherein the one or more frame process parameters include at least a block size of a motion vector search region.

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

3. A graphics apparatus, comprising:

a power budget analyzer to identify a power budget for an application processor, persistent storage media, and a graphics system;

a target analyzer to identify a target for the 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 and the identified target;

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

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

wherein the one or more frame process parameters include at least a block size of a motion vector search region.

4. The apparatus of claim 3, 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.

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

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

6. The apparatus of claim 3, wherein the identified target includes a video analytics target.

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

identifying a power budget for an application processor, persistent storage media, and a graphics system;

identifying a target for the graphics system;

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

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

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

wherein the one or more frame process parameters include at least a block size of a motion vector search region.

8. The method of claim 7, 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.

9. The method of claim 8, further comprising:

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

10. The method of claim 7, wherein the identified target includes a video analytics target.

11. At least one non-transitory 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 an application processor, persistent storage media, and a graphics system;

identify a target for the graphics system;

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

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

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

wherein the one or more frame process parameters include at least a block size of a motion vector search region.

12. The at least one non-transitory computer readable medium of claim 11, 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.

13. The at least one non-transitory computer readable medium of claim 12, comprising a further set of instructions, which when executed by a computing device cause the computing device to:

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

14. The at least one non-transitory computer readable medium of claim 11, wherein the identified target includes a video analytics target.

15. A graphics apparatus, comprising:

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

a target analyzer to identify a target for the 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 and the identified target;

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

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

wherein the one or more frame process parameters include at least a block size of a motion vector search region,

wherein the target analyzer determines whether the identified target is a video analytics target or a human viewer.