Abstract: Method and digital signage server for optimizing placement of digital signage content based on audience segments of a plurality of digital signage players. A plurality of segments for the players are stored at the server. Characteristics for a plurality of contents are received at the server. A matching algorithm is executed by the server, comparing the characteristics of the plurality of contents with items of the segments for the plurality of players, to identify for each content a target segment matching the characteristics of the content. One of the contents is selected and a plurality of candidate players is determined among the plurality of players, each candidate player having the target segment of the selected content. The server further identifies one or more target players from the plurality of candidate players for displaying the selected content, based on metric thresholds of respective corresponding metrics defined for the candidate players.

Abstract: Method and computing device for performing dynamic digital signage campaign optimization. Screen data associated to screens controlled by the computing device and requirements of active campaigns are stored at the computing device. The screen data comprise characteristics of the screens and screen activity data defining the activity the screens for the active campaigns. The computing device receives requirements of a candidate campaign and generates a mathematical model based on the requirements of the candidate campaign, the requirements of the active campaigns, and at least some of the screen data. The mathematical model is transmitted to a mathematical solver and a mathematical solution generated by the mathematical solver is received. The computing devices generates configuration data for the candidate campaign based on the mathematical solution.

Abstract: Method and computing device using machine learning for performing content approval. The computing device determines metadata related to at least one image and executes a machine learning algorithm. The machine learning algorithm uses a model for determining a content approval indicator based on inputs. The content approval indicator indicates whether a content of the at least one image is approved. The inputs comprise the metadata. For instance, the content is a digital signage content. In an exemplary implementation, the metadata comprise textual metadata and the model is a Natural Language Processing model (e.g. a Large Language Model). The determination of the metadata comprises a processing of the at least one image with another machine learning algorithm. Optionally, a content category of the image(s) is also determined by the machine learning algorithm, using another model and at least some of the metadata.

Abstract: Method and computing device for performing dynamic digital signage campaign optimization. Screen data associated to screens controlled by the computing device and requirements of active campaigns are stored at the computing device. The screen data comprise characteristics of the screens and screen activity data defining the activity the screens for the active campaigns. The computing device receives requirements of a candidate campaign and generates a mathematical model based on the requirements of the candidate campaign, the requirements of the active campaigns, and at least some of the screen data. The mathematical model is transmitted to a mathematical solver and a mathematical solution generated by the mathematical solver is received. The computing devices generates configuration data for the candidate campaign based on the mathematical solution.

Abstract: Method and server for managing placement of a digital signage content based on metric thresholds. The server stores parameters associated to a plurality of locations. The parameters for each location comprise at least one metric and a corresponding threshold for each metric. The server determines a plurality of candidate locations among the plurality of locations for displaying the content. For each candidate location, the server processes the at least one metric and corresponding threshold of the candidate location to determine if each metric among the at least one metric is within the corresponding threshold. The server identifies one or more target location among the plurality of candidate locations for displaying the content. Each metric among the at least one metric of the one or more target location is within the corresponding threshold. The locations may include digital signage players, geographical areas, displays controlled by a player.

Abstract: Master computing device and method for synchronizing display of a digital content (for example a digital signage content) on the master computing device and on one or more slave computing device. The master device transmits a synchronization request, comprising a digital content identifier for identifying the digital content, to the slave device(s). The master device determines a number of negative responses received from the slave device(s) in response to the synchronization request. Each negative response is indicative of one among the slave device(s) not being capable of displaying the digital content. The master device transmits a new synchronization request to the slave computing device(s) if the number of received negative responses reaches a threshold. The master computing device transmits a display command to the slave device(s) for displaying the digital content on their respective display(s) if the number of received negative responses does not reach the threshold.

Abstract: Method and server for managing placement of a digital signage content based on metric thresholds. The server stores parameters associated to a plurality of locations. The parameters for each location comprise at least one metric and a corresponding threshold for each metric. The server determines a plurality of candidate locations among the plurality of locations for displaying the content. For each candidate location, the server processes the at least one metric and corresponding threshold of the candidate location to determine if each metric among the at least one metric is within the corresponding threshold. The server identifies one or more target location among the plurality of candidate locations for displaying the content. Each metric among the at least one metric of the one or more target location is within the corresponding threshold. The locations may include digital signage players, geographical areas, displays controlled by a player.

Abstract: Method and server for managing placement of a digital signage content based on metric thresholds. The server stores parameters associated to a plurality of locations. The parameters for each location comprise at least one metric and a corresponding threshold for each metric. The server determines a plurality of candidate locations among the plurality of locations for displaying the content. For each candidate location, the server processes the at least one metric and corresponding threshold of the candidate location to determine if each metric among the at least one metric is within the corresponding threshold. The server identifies one or more target location among the plurality of candidate locations for displaying the content. Each metric among the at least one metric of the one or more target location is within the corresponding threshold. The locations may include digital signage players, geographical areas, displays controlled by a player.

Abstract: Method and computing device for performing dynamic digital signage campaign optimization. Screen data associated to screens controlled by the computing device and requirements of active campaigns are stored at the computing device. The screen data comprise characteristics of the screens and screen activity data defining the activity the screens for the active campaigns. The computing device receives requirements of a candidate campaign and generates a mathematical model based on the requirements of the candidate campaign, the requirements of the active campaigns, and at least some of the screen data. The mathematical model is transmitted to a mathematical solver and a mathematical solution generated by the mathematical solver is received. The computing devices generates configuration data for the candidate campaign based on the mathematical solution.

Abstract: Method and computing device for performing dynamic digital signage campaign optimization. Screen data associated to screens controlled by the computing device and requirements of active campaigns are stored at the computing device. The screen data comprise characteristics of the screens and screen activity data defining the activity the screens for the active campaigns. The computing device receives requirements of a candidate campaign and generates a mathematical model based on the requirements of the candidate campaign, the requirements of the active campaigns, and at least some of the screen data. The mathematical model is transmitted to a mathematical solver and a mathematical solution generated by the mathematical solver is received. The computing devices generates configuration data for the candidate campaign based on the mathematical solution.

Abstract: A method and computing device for optimizing placement of digital signage content based on audience segments associated to digital signage display units. A plurality of audience segments are stored in a memory of a computing device. Characteristics of a digital signage content are received by the computing device. The characteristics of the digital signage content and the plurality of audience segments are processed by a processing unit of the computing device, to identify potential placements for the digital signage content based on the characteristics of the digital signage content and the stored audience segments. The potential placements for the digital signage content are provided for bidding.

Abstract: A method and digital signage player for managing display of a distributed digital signage content. The digital signage player stores the distributed digital signage content, and a local placement target for the distributed digital signage content. The digital signage player displays the distributed digital signage content in accordance with the local placement target. The digital signage player exchanges messages with a neighbor digital signage player, for increasing the local placement target of the distributed digital signage content at the request of the neighbor digital signage player. The neighbor digital signage player also displays the distributed digital signage content in accordance with its own placement target, which needs to be decreased. The digital signage player ultimately increases the local placement target of the distributed digital signage content based on the messages exchanged with the neighbor digital signage player.

Abstract: Method and computing device for performing dynamic digital signage campaign optimization. Screen data associated to screens controlled by the computing device and requirements of active campaigns are stored at the computing device. The screen data comprise characteristics of the screens and screen activity data defining the activity the screens for the active campaigns. The computing device receives requirements of a candidate campaign and generates a mathematical model based on the requirements of the candidate campaign, the requirements of the active campaigns, and at least some of the screen data. The mathematical model is transmitted to a mathematical solver and a mathematical solution generated by the mathematical solver is received. The computing devices generates configuration data for the candidate campaign based on the mathematical solution.

Abstract: A method and digital signage player for managing display of a distributed digital signage content. The digital signage player stores the distributed digital signage content, and a local placement target for the distributed digital signage content. The digital signage player displays the distributed digital signage content in accordance with the local placement target. The digital signage player exchanges messages with a neighbor digital signage player, for increasing the local placement target of the distributed digital signage content at the request of the neighbor digital signage player. The neighbor digital signage player also displays the distributed digital signage content in accordance with its own placement target, which needs to be decreased. The digital signage player ultimately increases the local placement target of the distributed digital signage content based on the messages exchanged with the neighbor digital signage player.

Abstract: Master computing device and method for synchronizing display of a digital content (for example a digital signage content) on the master computing device and on one or more slave computing device. The master device transmits a synchronization request, comprising a digital content identifier for identifying the digital content, to the slave device(s). The master device determines a number of negative responses received from the slave device(s) in response to the synchronization request. Each negative response is indicative of one among the slave device(s) not being capable of displaying the digital content. The master device transmits a new synchronization request to the slave computing device(s) if the number of received negative responses reaches a threshold. The master computing device transmits a display command to the slave device(s) for displaying the digital content on their respective display(s) if the number of received negative responses does not reach the threshold.

Abstract: A method and digital signage player for managing display of a distributed digital signage content. The digital signage player stores the distributed digital signage content, and a local placement target for the distributed digital signage content. The digital signage player displays the distributed digital signage content in accordance with the local placement target. The digital signage player exchanges messages with a neighbor digital signage player, for increasing the local placement target of the distributed digital signage content at the request of the neighbor digital signage player. The neighbor digital signage player also displays the distributed digital signage content in accordance with its own placement target, which needs to be decreased. The digital signage player ultimately increases the local placement target of the distributed digital signage content based on the messages exchanged with the neighbor digital signage player.

Abstract: Master computing device and method for synchronizing display of a digital content (for example a digital signage content) on the master computing device and on one or more slave computing device. The master device transmits a synchronization request, comprising a digital content identifier for identifying the digital content, to the slave device(s). The master device determines a number of negative responses received from the slave device(s) in response to the synchronization request. Each negative response is indicative of one among the slave device(s) not being capable of displaying the digital content. The master device transmits a new synchronization request to the slave computing device(s) if the number of received negative responses reaches a threshold. The master computing device transmits a display command to the slave device(s) for displaying the digital content on their respective display(s) if the number of received negative responses does not reach the threshold.

Abstract: A method and computing device for optimizing placement of digital signage content based on audience segments associated to digital signage display units. A plurality of audience segments are stored in a memory of a computing device. Characteristics of a digital signage content are received by the computing device. The characteristics of the digital signage content and the plurality of audience segments are processed by a processing unit of the computing device, to identify potential placements for the digital signage content based on the characteristics of the digital signage content and the stored audience segments. The potential placements for the digital signage content are provided for bidding.

Abstract: Method and server for managing placement of a digital signage content based on metric thresholds. The server stores parameters associated to a plurality of locations. The parameters for each location comprise at least one metric and a corresponding threshold for each metric. The server determines a plurality of candidate locations among the plurality of locations for displaying the content. For each candidate location, the server processes the at least one metric and corresponding threshold of the candidate location to determine if each metric among the at least one metric is within the corresponding threshold. The server identifies one or more target location among the plurality of candidate locations for displaying the content. Each metric among the at least one metric of the one or more target location is within the corresponding threshold. The locations may include digital signage players, geographical areas, displays controlled by a player.

Abstract: Method and server for managing placement of a digital signage content based on metric thresholds. The server stores parameters associated to a plurality of locations. The parameters for each location comprise at least one metric and a corresponding threshold for each metric. The server determines a plurality of candidate locations among the plurality of locations for displaying the content. For each candidate location, the server processes the at least one metric and corresponding threshold of the candidate location to determine if each metric among the at least one metric is within the corresponding threshold. The server identifies one or more target location among the plurality of candidate locations for displaying the content. Each metric among the at least one metric of the one or more target location is within the corresponding threshold. The locations may include digital signage players, geographical areas, displays controlled by a player.