18882461. RESIZING FOR ENHANCED INFERENCE (Intel Corporation)
RESIZING FOR ENHANCED INFERENCE
Organization Name
Inventor(s)
Sebastian Possos of Sammamish WA (US)
Yi-jen Chiu of San Jose CA (US)
Eric Palmer of La Grange KY (US)
RESIZING FOR ENHANCED INFERENCE
This abstract first appeared for US patent application 18882461 titled 'RESIZING FOR ENHANCED INFERENCE
Original Abstract Submitted
The lack of knowledge about a downstream consumer using a resized image can lead to poor inference quality of a machine learning model. Inference quality can be improved when the resizing algorithm to produce resized images closely matches the one used during training of the machine learning model. To achieve this technical task, a resizer can be made aware of downstream consumer information and apply a suitable resizing algorithm. In one scenario, the downstream consumer information is received as metadata from a downstream process. In another scenario, an optimal resizing option can be determined to maximize inference quality. In yet another scenario, a likely resizing option can be determined by assessing a filtering profile determined based on a known original image and a known resized image.