Interaction detection model for identifying human-object interactions in image content

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United States of America Patent

PATENT NO 11106902
APP PUB NO 20190286892A1
SERIAL NO

15920027

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Abstract

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Certain embodiments detect human-object interactions in image content. For example, human-object interaction metadata is applied to an input image, thereby identifying contact between a part of a depicted human and a part of a depicted object. Applying the human-object interaction metadata involves computing a joint-location heat map by applying a pose estimation subnet to the input image and a contact-point heat map by applying an object contact subnet to the to the input image. The human-object interaction metadata is generated by applying an interaction-detection subnet to the joint-location heat map and the contact-point heat map. The interaction-detection subnet is trained to identify an interaction based on joint-object contact pairs, where a joint-object contact pair includes a relationship between a human joint location and a contact point. An image search system or other computing system is provided with access to the input image having the human-object interaction metadata.

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Patent Owner(s)

Patent OwnerAddress
ADOBE INC345 PARK AVENUE SAN JOSE CA 95110

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Kim, Vladimir Seattle, US 32 178
Li, Zimo Los Angeles, US 1 13
Yumer, Mehmet Ersin San Jose, US 20 160

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