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.

Selective and protected release of private information/data to an incident response team (for example, public safety personnel) is disclosed. The private data (which pertains to individuals recorded as being within a premises at the time of an incident with respect to which the incident response team is responding to) may take the form of a system-generated log, which may be transferred to a first level of the public safety personnel once authenticated. Based on at least one of role, incident type, and incident severity, the first level of authenticated public safety personnel may release at least a portion of the private data to a second level of authenticated public safety personnel.

Video and corresponding metadata is accessed. Events of interest within the video are identified based on the corresponding metadata, and best scenes are identified based on the identified events of interest. A video summary can be generated including one or more of the identified best scenes. The video summary can be generated using a video summary template with slots corresponding to video clips selected from among sets of candidate video clips. Best scenes can also be identified by receiving an indication of an event of interest within video from a user during the capture of the video. Metadata patterns representing activities identified within video clips can be identified within other videos, which can subsequently be associated with the identified activities.

An identity verification method performed at a terminal includes: displaying and/or playing in an audio form action guide information selected from a preset action guide information library, and collecting a corresponding set of action images within a preset time window; performing matching detection on the collected set of action images and the action guide information, to obtain a living body detection result indicating whether a living body exists in the collected set of action images; according to the living body detection result that indicates that a living body exists in the collected set of action images: collecting user identity information and performing verification according to the collected user identity information, to obtain a user identity information verification result; and determining the identity verification result according to the user identity information verification result.

The various implementations described herein include systems and methods for recognizing persons in video streams. In one aspect, a method includes: obtaining images collected by video cameras in a smart home environment, each image including a detected person; for each image, obtaining first information that identifies an attribute of the detected person, the first information generated from analysis of the image; grouping the images into a first group of a plurality of groups based on the first information, each group of the plurality of groups representing a unique person; receiving a request to remove a first image from the first group; removing the first image from the first group; and disassociating the first information from the first group.

A method for identifying unknown third parties appearing within video call data based on generated image characteristics data. A user's computing device and a participant computing device may exchange and render video call data in which the user's computing device may display the unknown third-party. The user's computing device may generate image characteristics data based on selected imagery. The user's computing device may compare the image characteristics data to stored contact information on the user's computing device to find a match, and may transmit the image characteristics data to the participant computing device for comparison with local stored information stored. The participant computing device may transmit a report message to the user's computing device indicating whether a match is found. In an embodiment, a server may transmit the facial data to other devices for comparison. In another embodiment, the user's computing device may request contact information from participant computing devices.

The present system may be deployed in various scenarios to provide proof of liveness (also referred to herein as “liveness verification”) of an image without interaction of the subject of the image. The liveness verification process generally comprises imperative analysis and dynamic analysis of the image, after which liveness of the image may be determined.

Accessibility of media associated with mobile devices can be modified based on specific scenarios. For example, historical data associated with a relationship between users of a first mobile device and s second mobile device can be used to prioritize media displayed on one or more of the mobile devices. The historical data can include locations, dates, times, and/or any other relevant characteristics associated with the relationship. Alternatively, media can be displayed on the first mobile device, which is relevant to a user of a second mobile device, in response to a condition associated with a recognition pattern being determined to have been satisfied.

A method, system and computer program product that provides virtual assistance in facilitating visual comparison is disclosed. A method in accordance with example embodiments includes determining (by comparison of first metadata of an at least one user-provided image to second metadata of an at least one reference image) difference information as between an unknown object and a known object shown in the at least one user-provided image to the at least one reference image respectively.

A presentation of visual information relates to an accurate identity of a person. Visible data corresponding to the identity is rendered upon a wearable badge associated uniquely with the person. The rendered visible data are augmented dynamically. The augmentation includes adding a conspicuous indication to the rendered visible data, in real time, that an authorized security credential corresponding to the person is exceeded in relation to a presence of the person in a particular location.