Deweyvision Corp.

Aaron Malcolm Peddle

Majid Bemanian

A data processing system for matching video content implements obtaining first video footage that includes a plurality of first video frames of a first video clip; obtaining second video footage that includes a plurality of second video frames; analyzing the first video footage and the second video footage to generate a plurality of first fingerprints representing each frame of the plurality of first video frames and a plurality of second fingerprints representing the second video frames; comparing the first fingerprints to the second fingerprints to identify one or more candidate clip matches for the first video clip in the second video footage; selecting a best match for the first video clip in the second video footage from the one or more candidate clip matches for the first video clip; and presenting the best match for the first video clip on a user interface.

Techniques for adaptive frame-based clip matching

A data processing system for generating a fingerprint of an image implements obtaining a first digital image; determining a first fingerprint for the first digital image comprising a first coarse-grain fingerprint element and a first fine-grain fingerprint element by determining the first coarse-grain component based on the first digital image; determining the first fine-grain component based on the first digital image; and generating the first fingerprint by combining the first coarse-grain component with the first-fine grain component; obtaining a second fingerprint for a second digital image, the second fingerprint comprising a second coarse-grain component and a second fine-grain component; comparing the first fingerprint with the second fingerprint to determine a similarity score; and performing one or more actions responsive to the similarity score equaling or exceeding a similarity threshold.

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Pleasanton, CA, United States of America

Aaron Malcolm Peddle