System and method for adaptive automated preset audio equalizer settings
An information handling system determines a frame rate of a frame or an image, and determines a type of an application based on a histogram analysis of the frame or the image analysis and on the frame rate. A hardware equalizer setting may also be applied for audio content based on the application type, wherein the hardware equalizer setting is from a pre-defined list of applications with corresponding hardware equalizer settings.
1. A method comprising:
detecting, by a processor, a frame or an image displayed by an application;
identifying the application and determining whether the application is included in a pre-defined list of applications with corresponding hardware equalizer settings;
in response to determining that the application is not included in the pre-defined list of applications, performing a histogram analysis of each pixel of the frame or the image displayed;
determining a frame rate of the frame or the image displayed;
determining a type of the application based on the histogram analysis and the frame rate; and
in response to determining that the application includes audio content, applying a hardware equalizer setting for the audio content based on the application type, wherein the hardware equalizer setting is from the pre-defined list of applications with the corresponding hardware equalizer settings.
2. The method of claim 1 , wherein the determining the application type is further based on metadata associated with the application or the frame or the image displayed.
3. The method of claim 1 , further comprising determining a signature of the application based on the histogram analysis and the frame rate.
4. The method of claim 1 , wherein performing the histogram analysis includes determining whether the frame or the image is in a letterbox format.
5. The method of claim 1 , wherein performing the histogram analysis includes determining whether the frame or the image is not in a letterbox format.
6. The method of claim 1 , further comprising determining a refresh rate of the frame or the image displayed.
7. The method of claim 1 , wherein the corresponding hardware equalizer settings are stored in a monitor.
8. The method of claim 7 , applying a sub-tier hardware equalizer setting based on a music application genre.
9. An information handling system, comprising:
a processor configured to detect a frame or an image displayed at a display device by an application;
an interface board coupled to the display device; and
a scaler chip that resides in the interface board and configured to:
determine a frame rate of the frame or the image;
identify the application and determine whether the application is included in a pre-defined list of applications with corresponding hardware equalizer settings;
in response to a determination that the application is not included in the pre-defined list of applications, determine a type of the application based on a histogram analysis of each pixel of the frame or the histogram analysis and on the frame rate; and
in response to a determination that the application includes audio content, apply a hardware equalizer setting for the audio content based on the application type, wherein the hardware equalizer setting is from the pre-defined list of applications with the corresponding hardware equalizer settings.
10. The information handling system of claim 9 , wherein the determination of the application type is further based on metadata associated with the application.
11. The information handling system of claim 9 , further comprising determining a signature of the application based on the histogram analysis and the frame rate.
12. The information handling system of claim 9 , wherein performing the histogram analysis includes determining whether the frame or the image is in a letterbox format.
13. The information handling system of claim 9 , further comprising determining a refresh rate of the frame or the image.
14. The information handling system of claim 9 , wherein the corresponding hardware equalizer settings are stored in the display device.
15. A non-transitory computer-readable medium including code that when executed performs a method, the method comprising:
detecting a frame or an image displayed by an application;
identifying the application and determining whether the application is included in a pre-defined list of applications with corresponding hardware equalizer settings;
in response to determining that the application is not included in the pre-defined list of applications, performing a histogram analysis of each pixel of the frame or the image;
determining a frame rate of the frame or the image;
determining an application type of the application based on the histogram analysis and the frame rate; and
in response to determining that the application includes audio content, applying a hardware equalizer setting for the audio content based on the application type, wherein the hardware equalizer setting is from the pre-defined list of applications with the corresponding hardware equalizer settings.
16. The non-transitory computer-readable medium of claim 15 , wherein the determining the application type is further based on metadata associated with the application.
17. The non-transitory computer-readable medium of claim 15 , further comprising determining a signature of the application based on the histogram analysis and the frame rate.
18. The non-transitory computer-readable medium of claim 15 , wherein performing the histogram analysis includes determining whether the frame or the image is in a letterbox format.
19. The non-transitory computer-readable medium of claim 15 , wherein the corresponding hardware equalizer settings are stored in a monitor.
20. The non-transitory computer-readable medium of claim 15 , applying a sub-tier hardware equalizer setting based on a music application genre.