A non-transitory computer-readable medium (CRM) storing computer program code executed by a computer processor that executes a process of acquiring a medical image generated based on a signal detected by a catheter inserted to a lumen organ, estimating a position of an object at least included in the acquired medical image by inputting the medical image to a first learning model for estimating a position of an object included in the medical image, extracting from the medical image an image portion by using the estimated position of the object as a reference, and recognizing the object included in the extracted image portion by inputting the image portion to a second learning model for recognizing an object included in the image portion.

A non-transitory computer-readable medium (CRM) storing computer program code executed by a computer processor that executes a process of acquiring a medical image generated based on a signal detected by a catheter inserted to a lumen organ, estimating a position of an object at least included in the acquired medical image by inputting the medical image to a first learning model for estimating a position of an object included in the medical image, extracting from the medical image an image portion by using the estimated position of the object as a reference, and recognizing the object included in the extracted image portion by inputting the image portion to a second learning model for recognizing an object included in the image portion.

A method is provided for identifying consumer packaged goods (CPGs). The method includes providing to a machine learning classifier a set of images containing at least one CPG; receiving from the machine learning classifier an indication that the machine learning classifier cannot reliably identify a designated CPG in the set of images; determining whether the designated CPG is a product in a product catalog; if the designated CPG is in the product catalog, then associating the designated CPG with a Global Trade Item Number (GTIN); and if the designated product is not in the product catalog, then designating the CPG as a potentially new product. Notably, this approach allows partially identified products to be treated as full-fledged members of the product catalog, thus allowing data to be collected on these products even before they have been fully identified and their GTINs have been resolved.

A method is provided for identifying consumer packaged goods (CPGs). The method includes providing to a machine learning classifier a set of images containing at least one CPG; receiving from the machine learning classifier an indication that the machine learning classifier cannot reliably identify a designated CPG in the set of images; determining whether the designated CPG is a product in a product catalog; if the designated CPG is in the product catalog, then associating the designated CPG with a Global Trade Item Number (GTIN); and if the designated product is not in the product catalog, then designating the CPG as a potentially new product. Notably, this approach allows partially identified products to be treated as full-fledged members of the product catalog, thus allowing data to be collected on these products even before they have been fully identified and their GTINs have been resolved.

Embodiments relate to systems, methods and computer readable media for gaming monitoring. In particular, embodiments process images to determine presence of a gaming object on a gaming table in the images. Embodiments estimate postures of one or more players in the images and based on the estimated postures determine a target player associated with the gaming object among the one or more players.

Provided is a method of providing an interface for visual question answering. The method including: receiving 360-degree video data; acquiring a plurality of images corresponding to a plurality of fields of view (FOV) based on the 360-degree video data; identifying a plurality of objects included in the plurality of images and storing metadata regarding the plurality of objects; converting plane coordinates of each of the plurality of objects into spherical coordinates; classifying the plurality of objects into a plurality of lists; selecting a first object having a highest correct answer probability; comparing the spherical coordinates of the first object having the highest correct answer probability with the spherical coordinates of each of the remaining first objects, and removing a first object satisfying a preset condition among the remaining first objects from the plurality of images; and generating an interface for visual question answering.

Provided is a method of providing an interface for visual question answering. The method including: receiving 360-degree video data; acquiring a plurality of images corresponding to a plurality of fields of view (FOV) based on the 360-degree video data; identifying a plurality of objects included in the plurality of images and storing metadata regarding the plurality of objects; converting plane coordinates of each of the plurality of objects into spherical coordinates; classifying the plurality of objects into a plurality of lists; selecting a first object having a highest correct answer probability; comparing the spherical coordinates of the first object having the highest correct answer probability with the spherical coordinates of each of the remaining first objects, and removing a first object satisfying a preset condition among the remaining first objects from the plurality of images; and generating an interface for visual question answering.

Automated panoramic image connections from outdoor to indoor environments is provided. A system identifies, in a data repository, a virtual tour of an internal portion of a physical building formed from a plurality of images connected with a linear path along a persistent position of a virtual camera. The system receives, from a third-party data repository, image data corresponding to an external portion of the physical building. The system detects, within the image data, an entry point for the internal portion of the physical building. The system generates, responsive to the detection, a step-in transition at the entry point in the image data. The system connects the virtual tour with the step-in transition generated for the image data at the entry point. The system initiates, on a client device responsive to an interaction with the entry point, the step-in transition to cause a stream of the virtual tour.

According to some embodiments, disclosed are systems and methods for a novel framework of real-time event alert detection and communication. The disclosed framework operates by analyzing live-feeds of captured video at location and determining whether events lend towards a dangerous activity, then automatically alerting the users involved as to potential and/or imminent harm awaiting their actions. Rather than alerting one user, or a manger, as in conventional systems, the disclosed technology may evidence a communication relay among devices at a location, devices of users involved, as well as devices (and devices of users) overseeing operations within which the dangerous activity is anticipated or detected. This may lead to improved safety at and/or around workplace environments, as well as improved operational efficiency, thereby leading to reduced costs, reduced overhead and a reduction in resource expenditure.

According to some embodiments, disclosed are systems and methods for a novel framework of real-time event alert detection and communication. The disclosed framework operates by analyzing live-feeds of captured video at location and determining whether events lend towards a dangerous activity, then automatically alerting the users involved as to potential and/or imminent harm awaiting their actions. Rather than alerting one user, or a manger, as in conventional systems, the disclosed technology may evidence a communication relay among devices at a location, devices of users involved, as well as devices (and devices of users) overseeing operations within which the dangerous activity is anticipated or detected. This may lead to improved safety at and/or around workplace environments, as well as improved operational efficiency, thereby leading to reduced costs, reduced overhead and a reduction in resource expenditure.