A method is provided for modifying an image. The method comprises displaying an image, the image comprising a portion of an object; and determining if an edge of the object is in a location within the portion. The method further comprises detecting movement, in a member direction, of an operating member with respect to the edge. The method still further comprises moving, if the edge is not in the location, the object in an object direction corresponding to the detected movement; and modifying, if the edge is in the location, the image in response to the detected movement, the modified image comprising the edge in the location.

Information processing apparatus, information processing method and program

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

In one embodiment, a method includes accessing an image portraying at least a first person, accessing a social graph, determining a social-graph affinity for a first set of users, determining a facial-recognition scores for the first set of users based on the social-graph affinity for each user and a facial-representation associated with each user, where the facial-representation for each user is compared with the image, and generating one or more tag suggestions for the first person portrayed in the image based on the facial-recognition scores.

Tag suggestions for images on online social networks

In one embodiment, a method includes displaying a first content item on a screen of a computing device, the first content item occupying the entire screen and comprising an icon representing a second content item; and in response to a first user input, displaying a first animation sequence depicting the icon opening up to reveal the second content item, the second content item eventually replacing the first content item and occupying the entire screen. In one embodiment, the method further includes in response to a second user input, displaying a second animation sequence depicting the second content item closing down and returning to the icon included in the first content item, the second content item eventually disappearing from the screen.

Animation Sequence Associated with Content Item

In one embodiment, a social networking system automatically tags one or more users to an image file by creating a list of potential matches, and selecting a subset of potential matches based on location, asking a first user to confirm the subset of potential matches, and tagging one or more matched users to the image file.

Auto-Tagging In Geo-Social Networking System

A system and method for mapping interpersonal relationships, the method including processing a multiplicity of images and contextual information relating thereto including creating and prioritizing a list of a plurality of candidate persons having at least a predetermined relationship with at least one person connected to at least one image, using multi-dimensional information including visually sensible information in the multiplicity of images and contextual information relating thereto and searching the list of a plurality of candidate persons based at least in part on the prioritizing to select at least one of the candidate persons as having at least a predetermined relationship with the at least one person.

Moti Shniberg

Papers

Relationship Mapping Employing Multi-Dimensional Context Including Facial Recognition