A system and method for generating channels of multimedia content element. The method includes correlating between a plurality of signatures of the multimedia content to determine a plurality of contexts; correlating the plurality of contexts to determine a plurality of assumptions for the multimedia content element; clustering the assumptions to create at least one story cluster characterizing a situation featured in the multimedia content element; and adding the multimedia content element to at least one channel, wherein the at least one channel is determined based on the at least one story cluster.

A computer-implemented method of using video program viewer interaction data that has been loaded to a media measurement database as input to a measurement engine which then calculates Linear, DVR, and VOD asset viewing activity at three levels: (a) Video Program, (b) Video Program Airing, (c) Video Program Airing Segment, where each level provides summary metrics for groupings of Demographic, Geographic, and/or Device Characteristic, and also second-by-second viewing metrics, including counting advertising impressions, within the Demographic, Geographic, Device groupings. System also accounts for reduced value of ad viewing when viewer is using trick plays or when viewer delays viewing recorded content. Together these metrics provide detailed information on customer viewing behavior which can be used to drive business decisions for service providers, advertisers and content producers. Additionally, a viewing histogram analysis is produced.

A computer-implemented method of using video program viewer interaction data that has been loaded to a media measurement database as input to a measurement engine which then calculates Linear, DVR, and VOD asset viewing activity at three levels: (a) Video Program, (b) Video Program Airing, (c) Video Program Airing Segment, where each level provides summary metrics for groupings of Demographic, Geographic, and/or Device Characteristic, and also second-by-second viewing metrics, including counting advertising impressions, within the Demographic, Geographic, Device groupings. System also accounts for reduced value of ad viewing when viewer is using trick plays or when viewer delays viewing recorded content. Together these metrics provide detailed information on customer viewing behavior which can be used to drive business decisions for service providers, advertisers and content producers. Additionally, a viewing histogram analysis is produced.

Aspects of the subject disclosure may include, for example, capturing first monitoring information associated with an audience that is viewing a presentation, determining an actual audience engagement level by performing pattern recognition on the first monitoring information, comparing the actual audience engagement level with an expected audience engagement level to generate an engagement score for the presentation, and transmitting, to a device, a haptic feedback according to the engagement score during the presenting of the presentation. Other embodiments are disclosed.

Disclosed is a content-view supporting system to recommend to a user a clear result of searched contents, based on a group of similar users' favorite programs, through a user-basis collaborative filtering process. The system selects similar users whose program view history is similar to that of a recommended user, maps the program view history in a collaborative filtering matrix registers, in the collaborative filtering matrix, a virtual user whose program view history includes a group of hit programs obtained based on a search condition served for realizing a predetermined search topic. The system also counts the numbers of reservations or views achieved by each user according to program content based on the program view history, in the collaborative filtering matrix, which counted numbers are set as matching numbers, and outputs a search result representing a recommendation list of the contents arrayed in the descending order of matching number.

Disclosed is a content-view supporting system to recommend to a user a clear result of searched contents, based on a group of similar users' favorite programs, through a user-basis collaborative filtering process. The system selects similar users whose program view history is similar to that of a recommended user, maps the program view history in a collaborative filtering matrix registers, in the collaborative filtering matrix, a virtual user whose program view history includes a group of hit programs obtained based on a search condition served for realizing a predetermined search topic. The system also counts the numbers of reservations or views achieved by each user according to program content based on the program view history, in the collaborative filtering matrix, which counted numbers are set as matching numbers, and outputs a search result representing a recommendation list of the contents arrayed in the descending order of matching number.

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 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.

An independent auditing and ad service system that may be utilized with a system for presenting marketing campaigns to audiences via a network of players in public locations. Independent agents in the players monitor media content that is presented to audiences during marketing campaigns and generate independent agent playlogs that are provided to a content registry service which compares the independent agent playlogs with playlogs that are provided by a network operator to validate the network-operator-generated playlogs. The independent agent playlogs may also be provided to an analytics service where they are used to analyze the performance of marketing campaigns. From the analyzed performance, the service may determine that the media content presented to audiences via the media players should be changed. The independent agents may be instructed to implement recommended changes by modifying the media content being presented on the players.