Abstract: 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.
Type:
Grant
Filed:
May 12, 2016
Date of Patent:
September 3, 2019
Assignee:
Pixel Forensics, Inc.
Inventors:
Jared Berg, Zachary Maybury, Andrew E. Merlino, Bahram Dahi, Dean Doody, Cheniel Chadowitz, Marc Reichman
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, and finally determining the similarity score based on both the cross-correlation scores.
Type:
Grant
Filed:
August 9, 2010
Date of Patent:
July 21, 2015
Assignee:
Pixel Forensics, Inc.
Inventors:
Jared S. Berg, Andrew E. Merlino, Jr., Dean R. Doody
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.
Type:
Grant
Filed:
August 10, 2009
Date of Patent:
October 23, 2012
Assignee:
Pixel Forensics, Inc.
Inventors:
Jared S. Berg, Andrew E. Merlino, Jr., Paul Yi, Dean R. Doody
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, and finally determining the similarity score based on both the cross-correlation scores.
Type:
Application
Filed:
August 9, 2010
Publication date:
April 14, 2011
Applicant:
Pixel Forensics, Inc.
Inventors:
Jared S. Berg, Andrew E. Merlino, JR., Dean R. Doody
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.
Type:
Application
Filed:
August 10, 2009
Publication date:
February 10, 2011
Applicant:
Pixel Forensics, Inc.
Inventors:
Jared S. Berg, Andrew E. Merlino, JR., Paul Yi, Dean R. Doody