Pixel Forensics, Inc.

Dean Doody

Andrew E Merlino

Jared S Berg

Cheniel Chadowitz

Marc Reichman

Zachary Maybury

Bahram Dahi

Paul Yi

Techniques for automatically rank-ordering media assets based on custom-user profiles by computing features attributes from the media assets, and then applying a custom profile using its attribute weights and signs to create a final promotable value coefficient for each media asset. Then, using the value coefficient for each asset, a triage-able ranked order to the media assets can be created, with those assets the profile determines most promotable appearing first to the user.

Automated video categorization, value determination and promotion/demotion via multi-attribute feature computation

Techniques for determining if two video signals match by extracting features from a first and second video signal, and cross-correlating the features thereby providing a cross-correlation score at each of a number of time lags, and finally determining the similarity score based on both the cross-correlation scores.

Robust video retrieval utilizing video data

Techniques for determining if two video signals match by extracting features from a first and second video signal, and cross-correlating the features thereby providing a cross-correlation score at each of a number of time lags, then determining a mean magnitude of a difference of average values at each of the lags, and finally determining the similarity score based on both the cross-correlation scores and the mean magnitude difference scores, and optionally then outputting an indication of a degree of match between the first and second video signals.

Robust video retrieval utilizing audio and video data

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Middletown, MD, United States of America

Dean Doody