Video summarization using semantic information
AssigneeIntel Corporation
InventorsMyung Hwangbo, Krishna Kumar Singh, Teahyung Lee, Omesh Tickoo
Life of this patent
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Abstract
Example apparatus disclosed herein are to process a first image of a first video segment from the image capture sensor with a machine learning algorithm to determine a first score for the first image, the machine learning algorithm to detect actions associated with images, the actions associated with labels. Disclosed example apparatus are also to determine a second score for the first video segment based on respective first scores for corresponding images in the first video segment. Disclosed example apparatus are further to determine, based on the second score, whether to retain the first video segment in the memory.
Claims25
An electronic device comprising:
- an image capture sensor;
- memory to store video segments;
- wireless communication circuitry;
- and
- one or more processors to:
- process a first image of a first video segment from the image capture sensor with a machine learning algorithm to determine a first score for the first image, the machine learning algorithm to detect actions associated with images, the actions associated with labels;
- determine a second score for the first video segment based on respective first scores for corresponding images in the first video segment;
- and
- determine, based on the second score, whether to retain the first video segment in the memory.
At least one memory device comprising computer readable instructions that, when executed, cause an electronic device to at least:
- process a first image of a first video segment from an image capture sensor of the electronic device with a machine learning algorithm to determine a first score for the first image, the machine learning algorithm to detect an action associated with at least one image, the action associated with a label;
- determine a second score for the first video segment based on respective first scores for corresponding images in the first video segment;
- and
- determine, based on the second score, whether to retain the first video segment in the electronic device.
An electronic device comprising:
- means for capturing images;
- means for storing video segments;
- and
- means for determining whether to retain a first video segment, the means for determining to:
- process a first image of the first video segment with a machine learning algorithm to determine a first score for the first image, the machine learning algorithm to detect actions associated with images, the actions associated with labels;
- determine a second score for the first video segment based on respective first scores for corresponding images in the first video segment;
- and
- determine, based on the second score, whether to retain the first video segment.
A method comprising:
- processing, by executing an instruction with processor circuitry of an electronic device, a first image of a first video segment with a machine learning algorithm to determine a first score for the first image, the machine learning algorithm to detect actions associated with images, the actions associated with labels, the first video segment from an image capture sensor of the electronic device;
- determining, by executing an instruction with the processor circuitry, a second score for the first video segment based on respective first scores for corresponding images in the first video segment;
- and
- determining, by executing an instruction with the processor circuitry, whether to retain the first video segment in the electronic device based on the second score.
Dependencies are inferred from the claim text.