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公开(公告)号：US20220012491A1
公开(公告)日：2022-01-13
申请号：US17483401
申请日：2021-09-23
Applicant: Intel Corporation
Inventor： Deepti Patil , Anil Kumar , Tamoghna Ghosh , Barnan Das , Sean J. Lawrence
Abstract: Apparatus, systems, methods, and articles of manufacture are disclosed for contextual usage control of cameras. An example apparatus includes processor circuitry to execute the instructions to: access one or more images from a camera; detect an object in the one or more images; detect a human activity in the one or more images; build a context based on the object and the human activity; create a visual marker on the one or more images; determine a user voice command; determine a control based on the context, the visual marker, and the voice command; and cause a change in one or more of the one or more images based on the control.
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公开(公告)号：US20210191489A1
公开(公告)日：2021-06-24
申请号：US17135292
申请日：2020-12-28
Applicant: Intel Corporation
Inventor： Shravan Kumar Belagal Math , Tamoghna Ghosh , Sherine Abdelhak , Junhai Qiu
IPC: G06F1/3203 , G09G3/20
Abstract: The present disclosure is directed to systems and methods for reducing display image power consumption while maintaining a consistent, objectively measurable, level of image distortion that comports with a display image quality metric. Raw image data is converted to an HSV format. “V” values are extracted from the HSV format raw image data and a histogram generates a plurality of “V” values. HSV format raw image data is provided to at least one layer of a trained CNN to extract a plurality of features. The plurality of “V” values and the plurality of features are provided to an AI circuit to generate a plurality of distortion class value pairs. Each of the distortion class value pairs is weighted based on proximity of display image distortion and the display image quality metric. The distortion class pair providing a display image distortion close to the display image quality metric is applied to the raw image data to generate the display image data.
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公开(公告)号：US20240134438A1
公开(公告)日：2024-04-25
申请号：US18543824
申请日：2023-12-18
Applicant: Intel Corporation
Inventor： Tamoghna Ghosh , Susanta Bhattacharjee , Mukesh Arora
IPC: G06F1/3218
CPC classification number: G06F1/3218
Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed for gradient image detection to improve power savings. An example disclosed apparatus includes programmable circuitry to at least one of instantiate or execute the machine readable instructions to identify a region in an image that satisfies a brightness threshold, define a plurality of lines in the image that extend away from the region, and determine the region corresponds to a gradient based on an analysis of pixels along different ones of the plurality of lines.
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公开(公告)号：US11231762B2
公开(公告)日：2022-01-25
申请号：US17135292
申请日：2020-12-28
Applicant: Intel Corporation
Inventor： Shravan Kumar Belagal Math , Tamoghna Ghosh , Sherine Abdelhak , Junhai Qiu
IPC: G06F1/32 , G06F1/3203 , G09G3/20
Abstract: The present disclosure is directed to systems and methods for reducing display image power consumption while maintaining a consistent, objectively measurable, level of image distortion that comports with a display image quality metric. Raw image data is converted to an HSV format. “V” values are extracted from the HSV format raw image data and a histogram generates a plurality of “V” values. HSV format raw image data is provided to at least one layer of a trained CNN to extract a plurality of features. The plurality of “V” values and the plurality of features are provided to an AI circuit to generate a plurality of distortion class value pairs. Each of the distortion class value pairs is weighted based on proximity of display image distortion and the display image quality metric. The distortion class pair providing a display image distortion close to the display image quality metric is applied to the raw image data to generate the display image data.
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