IMAGE TRANSFORMATION FOR MACHINE LEARNING

Number of patents in Portfolio can not be more than 2000

United States of America

APP PUB NO 20200027195A1
SERIAL NO

16531876

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Abstract

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Methods, systems, and apparatus, including an apparatus for determining pixel coordinates for image transformation and memory addresses for storing the transformed image data. In some implementations, a system includes a processing unit configured to perform machine learning computations for images using a machine learning model and pixel values for the images, a storage medium configured to store the pixel values for the images, and a memory address computation unit that includes one or more hardware processors. The processor(s) are configured to receive image data for an image and determine that the dimensions of the image do not match the dimensions of the machine learning model. In response, the processor(s) determine pixel coordinates for a transformed version of the input image and, for each of the pixel coordinates, memory address(es), in the storage medium, for storing pixel value(s) that will be used to generate an input to the machine learning model.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Killebrew, Carrell Daniel Sunnyvale, US 3 1
Narayanaswami, Ravi San Jose, US 32 47
Woo, Dong Hyuk San Jose, US 42 78

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