A system for presenting live video content to a plurality of participant client devices is disclosed. An interactive program, including the live video content and an interactive component, is generated and a moderator interface is provided to enable a user of a moderator client device to create a look for the interactive program. The live video content and the interactive component are simultaneously displayed on a display of each of a plurality of participant client devices with the look created by the user of the moderator client device. The live video content and a response to the live video content are simultaneously displayed at each of the participant client devices with the look created by the user of the moderator client. The interactive program and the response are archived so that users of the plurality of participant devices may continue to interact with the interactive program after termination of the interactive program.

Sensing interfaces associated with a home entertainment system are used to automate a system response to events which occur in a viewing area associated with the home entertainment system. Data derived from such sensing interfaces may also be used to enhance the response readiness of one or more system components. Still further, user presence data derived from such sensing interfaces may be used to capture and report user viewing habits and/or preferences.

A predictive tuning system is disclosed in order to reduce the tuning channel delay time in a cable TV architecture. The system comprises a set-top box (STB) configured to instantiate a given number of video decoding pipelines allowing for start broadcasting a particular set of channels which include a sub-set of pre-define channels, such as the antecessor and predecessor channels which are normally pre-tuned, and other sub-set of channels chosen using a predictive algorithm. This algorithm runs locally at the user interface level of the STB suggesting the more likely channels to be watched by the user according to his past behavior according to a specific time slot of a day.

The present invention relates to methods and systems for targeting and retargeting individuals with advertisement spots during television broadcasting. The method and system enable an advertiser for identifying and categorizing a set of viewers or individuals for retargeting advertisement based on parameters such as, but not limited to, interests or preferences of the individuals, past purchases and interactions of the individuals with the advertiser. The method and system further enable the advertiser to segregate the plurality of individuals into subgroups on the basis of information such as, but not limited to, demography, psychographic and behavioral characteristics of the plurality of individuals. The method and system then enable the advertiser to define one or more advertisement spots and corresponding advertisements to be delivered to different sub groups of individuals based on the categorization. Thereafter, the method and system retarget individuals by sending individualized messages in the one or more advertisement spots.

Methods and apparatus to identify media application sessions are disclosed. An example apparatus includes an audio interface to monitor an audio output of a media presentation device during a viewing session, a tone analyzer to identify one or more dual-tone multi-frequency (DTMF) tones presented by the audio output of the media presentation device, a session identification determiner to determine a session identification value associated with the viewing session based on the one or more identified DTMF tones, and a session report generator to associate a panelist identifier with the viewing session, and generate a session report based on the session identification value associated with the DTMF tones and the panelist identifier associated with the viewing session.

Information may be provided for review by an augmented reality (AR) user. A system may store a plurality of scenes viewed by the AR user, and for each scene information identifying (i) any pairs of real-life objects and AR augmentations presented in the scene and (ii) any pairs in the scene with which the user interacted. The system may also select from the stored plurality of scenes a first subset of scenes such that each pair with which the user interacted is presented in at least one scene in the first subset of scenes. Responsive to an instruction from the user to review historical AR information, the system may present to the user the selected first subset of scenes. The first subset may be selected such that each pair with which the user interacted is presented in at least one scene in which the user interacted with that pair.

Aspects of the subject disclosure may include, for example, detecting, by a processing system including a processor, a transmission of a signal that identifies an advertisement, transmitting, by the processing system, a first indication of having detected the signal, and transmitting, by the processing system, a second indication of a status of the processing system when the signal is detected. Other embodiments are disclosed.

A method of selecting and presenting content based on learned user preferences is provided. The method includes providing a content system including a set of content items organized by genre characterizing the content items, and wherein the set of content items contains microgenre metadata further characterizing the content items. The method also includes receiving search input from the user for identifying desired content items and, in response, presenting a subset of content items to the user. The method further includes receiving content item selection actions from the user and analyzing the microgenre metadata within the selected content items to learn the preferred microgenres of the user. The method includes, in response to receiving subsequent user search input, selecting and presenting content items in an order that portrays as relatively more relevant those content items containing microgenre metadata that more closely match the learned microgenre preferences of the user.

Data indicative of a plurality of content output sessions associated with a first time period may be received. Based on the received content output session data, a first subset of the plurality of content output sessions that are outliers may be determined. Data associated with a device associated with each of the first subset of content output sessions may be received. Based on the received device data, each device may be classified as an outlier device or an inlier device. Based on the classification, a second subset of the first subset of content output sessions that are associated with an outlier device may be determined. A duration of each content output session of the second subset may be compared to a duration threshold associated with a second time period. Based on the comparison, a total duration of the content output sessions of the second subset may be adjusted.

An example includes a segment collector to: access impression records indicative of media access segments, the media access segments including start times and end times corresponding to media accessed by a panelist; and determine ones of the impression records that include a watermark corresponding to a first media platform presenting the media; a segment classifier to convert a first one of the impression records including the watermark to a converted impression record; and combine the converted impression record corresponding to the first media platform and a second impression record corresponding to a second media platform; and a media creditor to generate audience measurement metrics based on the combined impression records.