Scoring Frames (IMAGE)

University of Texas at Austin

Scoring Frames

Caption

The researchers used machine learning techniques to teach their system to "score" the significance of objects in view based on egocentric factors such as how often the objects appeared in the center of the frame, which is a good proxy for where the camera wearer's gaze is, or whether they are touched by the wearer's hands.

Credit

Courtesy of Kristen Grauman.

Usage Restrictions

None

License

Licensed content

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.