A system and method for streaming customized audio is disclosed. The system and method allow for the selection of advertisements based on at least one feature of a listener and insertion of the selected advertisements into a customized digital audio stream subsequently transmitted to a particular listener. In a particular embodiment, the advertisement is provided as a text string which is converted into audio for insertion into customized digital audio stream.

A method and system for identifying social trends are provided. The method includes collecting multimedia content from a plurality of data sources; gathering environmental variables related to the collected multimedia content; extracting visual elements from the collected multimedia content; generating at least one signature for each extracted visual element; generating at least one cluster of visual elements by clustering at least similar signatures generated for the extracted visual elements; correlating environmental variables related to visual elements in the at least one cluster; determining at least one social trend by associating the correlated environmental variables with the at least one cluster.

Example systems, apparatus, and methods receive audio information including a plurality of frames from a source device, wherein each frame of the plurality of frames includes one or more audio samples and a time stamp indicating when to play the one or more audio samples of the respective frame. In an example, the time stamp is updated for each of the plurality of frames using a time differential value determined between clock information received from the source device and clock information associated with the device. The updated time stamp is stored for each of the plurality of frames, and the audio information is output based on the plurality of frames and associated updated time stamps. A number of samples per frame to be output is adjusted based on a comparison between the updated time stamp for the frame and a predicted time value for play back of the frame.

Certain exemplary embodiments disclosed herein relate to systems and/or methods for distributing advertisements from a central advertisement network to one or more peripheral devices at a location via a local advertisement server. In certain exemplary embodiments, the local advertisement server within a location receives advertisements from the central advertisement network and rebroadcasts them to peripheral devices within that location. Advertising information may be tracked and reported, e.g., for accounting, revenue-sharing, and/or other purposes in certain exemplary embodiments. Thus, in certain exemplary embodiments, the distribution of advertisements is provided to peripherals via a non-web- and non-PC-dependent network. Moreover, in certain exemplary embodiments, reporting and advertising related communications are substantially bi-directional regardless of device type. Certain exemplary embodiments provide revenue sharing among some or all of the central advertising network provider, the proprietors of locations, operators tasked with maintaining the local ad server and/or the peripheral devices, etc.

Audio splicing is rendered more effective by the use of one or more truncation unit packets inserted into the audio data stream so as to indicate to an audio decoder, for a predetermined access unit, an end portion of an audio frame with which the predetermined access unit is associated, as to be discarded in playout.

A system and method for generating an interface for providing recommendations based on contextual insights, the method including: generating at least one signature for at least one multimedia content element identified within an interaction between a plurality of users; generating at least one contextual insight based on the generated at least one signature and user interests of the plurality of users, wherein each contextual insight indicates a current user preference; searching for at least one content item that matches the at least one contextual insight; and generating an interface for providing the at least one content item within the interaction between the plurality of users.

A scientific system and methods are disclosed for optimizing television (e.g., “CTV” and “OTT”) advertising and related expenditure to maximize efficiency and return on investment (“ROI’) for advertisers. The scientific system comprises an initial-feedback engine that develops and refines creatives or outcomes by creating and using an artificial intelligence (“AI”) engine that creates an initial feedback loop from social media platforms and subsequently uses an intelligent advertisement-selection engine that takes the highest performing advertising on the social media platforms and directs or imports them for connected television or over-the-top advertising. The system includes a performance engine that optimizes performance of the connected television and over-the-top advertising and then moves the winning combination of a creative or outcome resulting from the application inventory, the audience segment, the part of day, the frequency or the like to linear television purchase actions.

A system that incorporates teachings of the subject disclosure may include, for example, obtaining a group of facial objects detected from an image captured by a camera coupled with a media device where the facial objects correspond to a plurality of users, determining authentication information for each of the plurality of users based on the facial objects, and providing the authentication information to a group of content service systems for enabling the media device to access aggregated media services from the group of content service systems. Other embodiments are disclosed.

A scientific system and methods are disclosed for optimizing television (e.g., “CTV” and “OTT”) advertising and related expenditure to maximize efficiency and return on investment (“ROI’) for advertisers. The scientific system comprises an initial-feedback engine that develops and refines creatives or outcomes by creating and using an artificial intelligence (“AI”) engine that creates an initial feedback loop from social media platforms and subsequently uses an intelligent advertisement-selection engine that takes the highest performing advertising on the social media platforms and directs or imports them for connected television or over-the-top advertising. The system includes a performance engine that optimizes performance of the connected television and over-the-top advertising and then moves the winning combination of a creative or outcome resulting from the application inventory, the audience segment, the part of day, the frequency or the like to linear television purchase actions.

A method for transmitting a content by a terminal is provided. The method includes sending a request for multi-point transmission for the content to a display device, receiving information about a first transmission rate between the display device and an access point (AP) from the display device, determining a first content distribution ratio for the display device and a second content distribution ratio for the terminal based on a demanded transmission rate for transmission of the content and the first transmission rate, sending information about at least one of the first content distribution ratio and the second content distribution ratio to the display device, receiving a second content portion corresponding to the second content distribution ratio of the content from a content server, and sending the second content portion to the display device.