Facedouble Corporation

Avigilon Patent Holding 1 Corporation

9051147 Canada Inc.

Avigilon Patent Holding Corporation

Charles A Myers

Alex Shah

A method and system for matching an unknown facial image of an individual with an image of a celebrity using facial recognition techniques and human perception is disclosed herein. The invention provides a internet hosted system to find, compare, contrast and identify similar characteristics among two or more individuals using a digital camera, cellular telephone camera, wireless device for the purpose of returning information regarding similar faces to the user. The system features classification of unknown facial images from a variety of internet accessible sources, including mobile phones, wireless camera-enabled devices, images obtained from digital cameras or scanners that are uploaded from PCs, third-party applications and databases. Once classified, the matching person's name, image and associated meta-data is sent back to the user. The method and system uses human perception techniques to weight the feature vectors.

Image classification and information retrieval over wireless digital networks and the internet

A system and method for tagging an image of an individual in a plurality of photos is disclosed herein. A feature vector of an individual is used to analyze a set of photos on a social networking website such as Facebook&#xae; to determine if an image of the individual is present in a photo of the set of photos. Photos having an image of the individual are tagged preferably by listing a URL or URI for each of the photos in a database.

Method and system for attaching a metatag to a digital image

A system and method for tagging an image of an individual in a plurality of photos is disclosed herein. A feature vector of an individual is used to analyze a set of photos on a social networking website such as www.facebook.com to determine if an image of the individual is present in a photo of the set of photos. Photos having an image of the individual are tagged preferably by listing a URL or URI for each of the photos in a database.

Method and system for identifying an individual in a digital image using location meta-tags

A method and system for of identifying an unknown individual from a digital image is disclosed herein. In one embodiment, the present invention allows an individual to photograph a facial image an unknown individual, transfer that facial image to a server for processing into a feature vector, and then search social networking Web sites to obtain information on the unknown individual. The Web sites comprise myspace.com, facebook.com, linkedin.com, www.hi5.com, www.bebo.com, www.friendster.com, www.igoogle.com, netlog.com, and orkut.com. A method of networking is also disclosed. A method for determining unwanted individuals on a social networking website is also disclosed.

System and method for utilizing facial recognition technology for identifying an unknown individual from a digital image

Method and system for tagging an individual in a digital image

A system and method for tagging an image of an individual in a plurality of photos is disclosed herein. A feature vector of an individual is used to analyze a set of photos on a social networking website to determine if an image of the individual is present in a photo of the set of photos. Photos having an image of the individual are tagged preferably by listing a URL or URI for each of the photos in a database.

A method and system for matching an unknown facial image of an individual with an image of a celebrity using facial recognition techniques and human perception is disclosed herein. The invention provides a internet hosted system to find, compare, contrast and identify similar characteristics among two or more individuals using a digital camera, cellular telephone camera, wireless device for the purpose of returning information regarding similar faces to the user The system features classification of unknown facial images from a variety of internet accessible sources, including mobile phones, wireless camera-enabled devices, images obtained from digital cameras or scanners that are uploaded from PCs, third-party applications and databases. Once classified, the matching person's name, image and associated meta-data is sent back to the user. The method and system uses human perception techniques to weight the feature vectors.

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La Jolla, CA, United States of America

Charles A Myers