Methods and apparatus to detect commercial advertisements associated with media presentations are disclosed. An example method involves receiving a video frame and detecting a change in box-formatting between the video frame and a subsequent video frame. A transition between the video frame and the subsequent video frame is indicated as a commercial advertisement transition based on the detected change in box-formatting.

Methods and apparatus to detect commercial advertisements associated with media presentations are disclosed. An example method involves receiving a video frame and detecting a change in box-formatting between the video frame and a subsequent video frame. A transition between the video frame and the subsequent video frame is indicated as a commercial advertisement transition based on the detected change in box-formatting.

A hardware media items scheduling and packaging system, which schedules and distributes channels to be viewed on a plurality of consumer devices, extracts contextual data from program-specific information associated with programming media content of a channel received from a distribution source device. A plurality of potential non-programming media items is determined for a plurality of users based on a match between a sentiment type of each of a plurality of non-programming media items and the extracted contextual data. Based on at least the extracted contextual data and the sentiment type of each of the plurality of potential non-programming media items, a plurality of candidate spots in the programming media content is determined. Based on at least a set of constraints and user estimation data associated with the plurality of users, a schedule of non-programming media item(s) is dynamically generated for at least one candidate spot in the programming media content.

A detection device detecting a scene related to a sponsor credit included in a commercial message from a target video is provided. The detection device comprises a detection unit that associates, from a preliminary video, a still image related to the sponsor credit with an audio signal related to the sponsor credit included other than in a frame or an audio signal configuring the commercial message so as to detect the scene related to the sponsor credit from the target video.

Systems and methods for providing real-time searching of audio streams to facilitate content moderation and advertising offer generation are provided. The method includes receiving a plurality of audio streams, converting each of the audio streams, in real-time, into one or more text segments, saving each text segment to a data store of real-time content, receiving one or more advertiser bids, wherein each of the one or more advertiser bids includes one or more bid criteria, determining whether the one or more bid criteria are met for an audio stream of the plurality of audio streams, selecting one or more winning bids from advertiser bids in which the one or more bid criteria have been met, generating one or more advertising offers for each of the one or more winning bids, and presenting the one or more advertising offers to a representative of the audio stream.

The current embodiments relate to a real-time automated classification system that uses machine learning system to recognize important moments in broadcast content based on log data and/or other data received from various classification systems. The real-time automated classification system may be trained to recognize correlations between the various log data to determine key moments in the broadcast content. The real-time automated logging system may determine and generate metadata that describe or give information about what is happening or appearing in the broadcast content. The real-time automated logging system may automatically generate control inputs, suggestions, recommendations, and/or edits relating to broadcast content based upon the metadata, during broadcasting of the broadcast content.

The current embodiments relate to a real-time automated classification system that uses machine learning system to recognize important moments in broadcast content based on log data and/or other data received from various classification systems. The real-time automated classification system may be trained to recognize correlations between the various log data to determine key moments in the broadcast content. The real-time automated logging system may determine and generate metadata that describe or give information about what is happening or appearing in the broadcast content. The real-time automated logging system may automatically generate control inputs, suggestions, recommendations, and/or edits relating to broadcast content based upon the metadata, during broadcasting of the broadcast content.

Image data relating to real-world objects or persons is collected from a scene while collecting audio data relating to the real-world objects or persons from the same scene. The audio data is used to derive sound objects corresponding to the real-world objects or persons. The image data is used to derive video objects corresponding to the real-world objects or persons. Based on the sound objects and the video objects, candidate salient objects are generated. A salient object is selected from among the candidate salient objects. Perceptual enhancement operations are performed on the selected salient object.

A method, non-transitory computer readable medium, and apparatus for identifying content from one or more radio frequency signals. One or more radio frequency signals are monitored for available content. The one or more radio frequency signals with available content are processed to obtain audio or data associated with the one or more radio frequency signals. The obtained audio or data is analyzed. The radio frequency signals are categorized based on the analyzed audio or data. One or more items of information related to the radio frequency signals are identified. The one or more items of categorizing information are stored.

There is disclosed a computer system for analysing content, comprising: a detection module connected to receive at least one piece of digital content, the detection module being operable to access a set of compliance rules and compare the received at least one piece of digital content with the set of compliance rules, the detection module further being configured to generate an alert if the result of the analysis indicates a breach of at least one of the rules; a moderator module connected to receive the alert, the moderator module configured to enable output to a moderator based only on the piece of digital content which caused the alert to be generated, whereby the moderator can assess a modification to be made to the piece of content which caused the alert to be generated.