Robust video retrieval utilizing audio and video data
AssigneePixel Forensics, Inc.
InventorsJared S. Berg, Andrew E. Merlino, JR., Paul Yi, Dean R. Doody
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Abstract
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.
Claims11
A method for determining if two video signals match, the method comprising:
- extracting features from a first video signal to provide a first feature-extracted signal;
- extracting features from a second video signal to provide a second feature-extracted signal;
- cross-correlating the first and second feature-extracted signals to provide a cross-correlation score at each of a plurality of time lags;
- determining a magnitude of a difference of average values of the first and second feature-extracted signals at the plurality of lags to provide a mean magnitude difference score at each lag;
- and
- determining a similarity score between the first and second feature-extracted signals based on both the cross-correlation scores and the mean magnitude difference scores.
Dependencies are inferred from the claim text.