Systems and methods are provided for determining a media cost equivalent to attribute to the appearance of a sponsor's logo or other object in a media item, such as an image or video. This determination may be based on factors such as clarity, prominence, visibility, size, or placement of a sponsor logo or other object related to the sponsor within at least one media item. One or more machine learning models may be utilized to automatically identify objects within, and otherwise analyze, image data in order to determine sponsor value.

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.

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.

Examples of the present disclosure relate to a device, method, and system for integrating a projection mode of a user mobile device with a terrestrial tuner. In an example, the system may be a vehicle including a head unit and a vehicle projection stack to operate in the head unit. The system may also include a terrestrial tuner communicatively coupled to the vehicle projection stack to receive a terrestrial signal from a terrestrial source. The system may also include an audio driver to provide an audio signal to a vehicle interior where the audio signal is from at least one of the terrestrial signal and an internet signal received at the vehicle projection stack from a user mobile device located inside the vehicle interior.

Examples of the present disclosure relate to a device, method, and system for integrating a projection mode of a user mobile device with a terrestrial tuner. In an example, the system may be a vehicle including a head unit and a vehicle projection stack to operate in the head unit. The system may also include a terrestrial tuner communicatively coupled to the vehicle projection stack to receive a terrestrial signal from a terrestrial source. The system may also include an audio driver to provide an audio signal to a vehicle interior where the audio signal is from at least one of the terrestrial signal and an internet signal received at the vehicle projection stack from a user mobile device located inside the vehicle interior.

Systems and methods are provided for determining a media cost equivalent to attribute to the appearance of a sponsor's logo or other object in a media item, such as an image or video. This determination may be based on factors such as clarity, prominence, visibility, size, or placement of a sponsor logo or other object related to the sponsor within at least one media item. One or more machine learning models may be utilized to automatically identify objects within, and otherwise analyze, image data in order to determine sponsor value.

To enable extraction of an area related to a sponsor credit from a video including the sponsor credit of a television broadcast or the like without generating learning data for each form of various kinds of sponsor credits. A detection device (10) according to the present invention includes a detection unit (19) that associates a still image including a prescribed character or figure from a preliminary video or a still image not including the prescribed character or figure with a sound signal including the prescribed sound acquired from the preliminary video so as to detect a desired scene as an area that includes at least one of the prescribed character or figure and the prescribed sound from the target video.

Apparatus, systems, articles of manufacture, and methods to identify media using watermarks and signatures are disclosed. An example apparatus includes a watermark evaluator to determine a category indicated by a watermark detected in the media. The example apparatus also includes a signature comparator to compare a query signature with a subset of reference signatures associated with the category to identify the media, the query signature generated from the media, the reference signatures generated from reference media associated with the category.

Apparatus, systems, articles of manufacture, and methods to identify media using watermarks and signatures are disclosed. An example apparatus includes a watermark evaluator to determine a category indicated by a watermark detected in the media. The example apparatus also includes a signature comparator to compare a query signature with a subset of reference signatures associated with the category to identify the media, the query signature generated from the media, the reference signatures generated from reference media associated with the category.