A system and method for sharing an image showing at least one person. The method includes generating at least one signature for the image; determining, based on the generated at least one signature, at least one personal identifier of each of the at least one person, wherein each personal identifier uniquely identifies the respective person; searching, using the determined personal identifiers, for at least one sharing identifier in at least one data source, wherein each sharing identifier indicates information for sharing the image with one of the at least one person; and sending a notification indicating the image using the at least one sharing identifier.

A system and method for sharing an image showing at least one person. The method includes generating at least one signature for the image; determining, based on the generated at least one signature, at least one personal identifier of each of the at least one person, wherein each personal identifier uniquely identifies the respective person; searching, using the determined personal identifiers, for at least one sharing identifier in at least one data source, wherein each sharing identifier indicates information for sharing the image with one of the at least one person; and sending a notification indicating the image using the at least one sharing identifier.

A system and method for signature-based clustering of multimedia content elements. The method includes generating at least one signature for a first multimedia content element; determining, based on the generated at least one signature, at least one tag for the first multimedia content element; searching, using the determined at least one tag, for at least one matching multimedia content element cluster in at least one data source, wherein each multimedia content element cluster includes a plurality of clustered multimedia content elements sharing a common concept; and adding the first multimedia content element to each matching multimedia content element cluster.

A system and method for signature-based clustering of multimedia content elements. The method includes generating at least one signature for a first multimedia content element; determining, based on the generated at least one signature, at least one tag for the first multimedia content element; searching, using the determined at least one tag, for at least one matching multimedia content element cluster in at least one data source, wherein each multimedia content element cluster includes a plurality of clustered multimedia content elements sharing a common concept; and adding the first multimedia content element to each matching multimedia content element cluster.

A system and method for determining driving decisions based on multimedia content. The method includes obtaining, in real-time during a trip of a vehicle, a first set of multimedia content elements captured by at least one sensor deployed in proximity to the vehicle; and generating, in real-time, a driving alert, when it is determined that at least one signature generated for the first set of multimedia content elements matches at least one signature generated for a matching multimedia content element of a second set of multimedia content elements, wherein each of the second set of multimedia content elements is associated with a predetermined potential cause of collision.

A system and method for determining driving decisions based on multimedia content. The method includes obtaining, in real-time during a trip of a vehicle, a first set of multimedia content elements captured by at least one sensor deployed in proximity to the vehicle; and generating, in real-time, a driving alert, when it is determined that at least one signature generated for the first set of multimedia content elements matches at least one signature generated for a matching multimedia content element of a second set of multimedia content elements, wherein each of the second set of multimedia content elements is associated with a predetermined potential cause of collision.

Disclosed herein are methods and systems to help disambiguate channel identification in a scenario where fingerprint data of media content being rendered by a media presentation device matches multiple reference fingerprints corresponding respectively with multiple different channels. Upon detecting such a multi-match, a server or other entity will perform disambiguation based at least in part on a comparison of time of broadcast of the media content being rendered by the media presentation device with time of broadcast of the media content represented by the reference fingerprints. The server or other entity will thereby determine the channel on which the media content being rendered by the media presentation device is arriving, so as to facilitate taking channel-specific action.

Methods and apparatus to identify and credit media using ratios of media characteristics are disclosed herein. Example methods and apparatus determine a first ratio based on a first combination of time intervals of a monitored media signature, the monitored media signature including a plurality of time intervals, respective ones of the time intervals being between respective adjacent characteristics identified in the media, determine a second ratio based on a second combination of time intervals of the monitored media signature, generate a monitored media ratio signature based on the first and second ratios, and compare the monitored media ratio signature with a reference ratio signature to identify the media.

A computing system receives from a media presentation device a query fingerprint stream representing media content being presented by the media presentation device, where the query fingerprint stream has been determined to represent a first channel. The computing system then detects that a threshold mismatch exists between the received query fingerprint stream and a reference fingerprint stream representing the first channel, thus indicating a likelihood that the media presentation device has transitioned from presenting the first channel to presenting a second channel. Responsive to detecting the threshold mismatch, the system thus discontinues channel-specific action with respect to the first channel. For instance, the system could discontinue superimposing of first-channel-specific content on the presented media content and perhaps start superimposing of second-channel-specific content instead.

Methods and systems for automatically transitioning content based on facial recognition, wherein the method may include receiving a signal from a camera, identifying a face of a viewer within an area, retrieving a user identifier associated with the face of the viewer, selecting a program, and displaying the program.