Systems and methods are provided for analyzing images or video using computer vision. Data comprising real time or near real time information or historical information is retrieved that is associated with a sporting event at a physical location. A time segment is identified of a display device at the physical location for acquisition. The display device is configurable to present visual sponsorship data during the time segment for an assigned sponsor. It is determined that one or more rules are satisfied by the data. An indication is transmitted that the first rule is satisfied to a computing device of a sponsor. A bid or valuation is generated based at least on the first rule being satisfied. A request to acquire the time segment is received from the computing device of the sponsor, and the display device at the physical location is caused to present visual sponsorship data for the sponsor during the time segment.

Systems and methods are provided for analyzing images or video using computer vision. Data comprising real time or near real time information or historical information is retrieved that is associated with a sporting event at a physical location. A time segment is identified of a display device at the physical location for acquisition. The display device is configurable to present visual sponsorship data during the time segment for an assigned sponsor. It is determined that one or more rules are satisfied by the data. An indication is transmitted that the first rule is satisfied to a computing device of a sponsor. A bid or valuation is generated based at least on the first rule being satisfied. A request to acquire the time segment is received from the computing device of the sponsor, and the display device at the physical location is caused to present visual sponsorship data for the sponsor during the time segment.

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.

System and method for detecting and classifying direct response advertisements. The system includes a unit for generating an advertisement candidate segment for an advertisement section detected from a broadcast stream a matching unit for determining whether the candidate segment matches each advertisement segment stored in a database (DB); a unit for, if the matching unit determines that a segment matching the candidate segment is not present, determining whether the candidate segment is a direct response advertisement; a registration unit for storing the candidate segment, determined to be a direct response advertisement, as an advertisement segment that is the direct response advertisement in the DB; and a direct response advertisement grouping unit for, if the matching unit determines that an advertisement segment matching the candidate segment is present, and the matching segment is a direct response advertisement, grouping the candidate segment with DB-stored advertisement segments that are direct response advertisements.

System and method for detecting and classifying direct response advertisements. The system includes a unit for generating an advertisement candidate segment for an advertisement section detected from a broadcast stream a matching unit for determining whether the candidate segment matches each advertisement segment stored in a database (DB); a unit for, if the matching unit determines that a segment matching the candidate segment is not present, determining whether the candidate segment is a direct response advertisement; a registration unit for storing the candidate segment, determined to be a direct response advertisement, as an advertisement segment that is the direct response advertisement in the DB; and a direct response advertisement grouping unit for, if the matching unit determines that an advertisement segment matching the candidate segment is present, and the matching segment is a direct response advertisement, grouping the candidate segment with DB-stored advertisement segments that are direct response advertisements.

System and method for detecting and classifying direct response advertisements. The system includes a unit for generating an advertisement candidate segment for an advertisement section detected from a broadcast stream; a matching unit for determining whether the candidate segment matches each advertisement segment stored in a database (DB); a unit for, if the matching unit determines that a segment matching the candidate segment is not present, determining whether the candidate segment is a direct response advertisement; a registration unit for storing the candidate segment, determined to be a direct response advertisement, as an advertisement segment that is the direct response advertisement in the DB; and a direct response advertisement grouping unit for, if the matching unit determines that an advertisement segment matching the candidate segment is present, and the matching segment is a direct response advertisement, grouping the candidate segment with DB-stored advertisement segments that are direct response advertisements.

System and method for detecting and classifying direct response advertisements. The system includes a unit for generating an advertisement candidate segment for an advertisement section detected from a broadcast stream; a matching unit for determining whether the candidate segment matches each advertisement segment stored in a database (DB); a unit for, if the matching unit determines that a segment matching the candidate segment is not present, determining whether the candidate segment is a direct response advertisement; a registration unit for storing the candidate segment, determined to be a direct response advertisement, as an advertisement segment that is the direct response advertisement in the DB; and a direct response advertisement grouping unit for, if the matching unit determines that an advertisement segment matching the candidate segment is present, and the matching segment is a direct response advertisement, grouping the candidate segment with DB-stored advertisement segments that are direct response advertisements.

Method for transmitting a coded light message, comprising: a step of the coded message being emitted by a light-emitting device, the coded message being emitted in the form of a series of colors emitted during regular consecutive time intervals, said message being coded by transitions between colors; a step of the coded message being received by a light sensor controlled to capture the colors emitted by the light emitter during consecutive time intervals and to thus determine the color transitions between consecutive time intervals, representative of the coded message.

Method for transmitting a coded light message, comprising: a step of the coded message being emitted by a light-emitting device, the coded message being emitted in the form of a series of colors emitted during regular consecutive time intervals, said message being coded by transitions between colors; a step of the coded message being received by a light sensor controlled to capture the colors emitted by the light emitter during consecutive time intervals and to thus determine the color transitions between consecutive time intervals, representative of the coded message.