Abstract: An information processing apparatus (10) includes a differential information generation unit (110) and an evaluation information output unit (120). The differential information generation unit (110) determines a combination of a first product package design and a second product package design, based on input information, and generates differential information indicating magnitude of a difference between the first product package design and the second product package design. The evaluation information output unit (120) evaluates a conspicuous degree of the difference between the first product package design and the second product package design, based on the differential information, and outputs evaluation information indicating an evaluation result of the conspicuous degree.

Abstract: An image analysis device 10 includes: a generation unit 11 which generates a similar set, which is a set of similar pieces of learning data selected from among a plurality of pieces of learning data, each including an image and information that represents an object to be recognized that is displayed in the image; and a learning unit 12 which uses the generated similar set to learn parameters for a predetermined recognition model that allow the predetermined recognition model to recognize the object to be recognized that is displayed in each image included in the generated similar set.

Abstract: A learning apparatus includes a metric space learning unit and a case example storage unit. The metric space learning unit learns a metric space including feature vectors extracted from sets of attribute-attached image data for each combination of different attributes by using the sets of attribute-attached image data to which pieces of attribute information are added. The case example storage unit calculates feature vectors from sets of case example image data, and stores the feature vectors as case examples associated with the metric space.

Abstract: An image collection system includes an image collection apparatus, an image capturing apparatus, and a display. The display includes a display surface that is also used as a placement surface of an object. The image capturing apparatus captures the object placed on the display surface of the display. The image collection apparatus includes a display control unit and an image acquisition unit. The display control unit switches and displays a plurality of first images each having a different content on the display surface of the display when the object is captured. The image acquisition unit acquires a plurality of second images generated by capturing the object on the display surface of the display while the plurality of first images are switched and displayed, and stores the plurality of second images in a storage apparatus.

Abstract: The present invention provides a registration system (1) including: a placement member (40) being a plate-shaped member that transmits light, or being a plate-shaped member having a hole penetrating from a front to a back; a first camera (20) that captures a product (60) placed on the placement member (40) from a front side of the placement member (40); a second camera (30) that captures the product (60) placed on the placement member (40) from a back side of the placement member (40); and a processing apparatus (10) that registers, in association with identical product identification information, a first image in which the first camera (20) captures the product (60) and a second image in which the second camera (30) captures the product (60).

Abstract: Provided is an information acquisition system including: an image capture apparatus including a camera that captures a target object to generate an image; and a control apparatus including a control unit that controls the image capture apparatus so that a plurality of images in accordance with a plurality of different environment conditions are generated and an information acquisition unit that acquires target object information input to a discriminator that identifies an object, in which the target object information includes the plurality of images or a plurality of feature amounts obtained from the plurality of images.

Abstract: The present invention provides a processing apparatus (10) including: an acquisition unit (11) acquiring a shelf image including a shelf on which a product is displayed; a retrieval unit (12) retrieving, in the shelf image, a product registered in a product database, based on an image of each of a plurality of products registered in the product database; a determination unit (13) determining existence of a difference between an image of a retrieved product in the shelf image and an image of a retrieved product registered in the product database; and a processing unit (14) notifying a product for which a difference is determined to exist.

Abstract: The present invention provides a processing apparatus (10) including a product database management unit (11) that registers a registration target product in a product database, and a special information management unit (13) that, when a similar-appearance product being similar in appearance to the registration target product at a predetermined level or more is registered in the product database, registers both the registration target product and the similar-appearance product as first processing target products requiring first processing, and registers information associating the registration target product and the similar-appearance product.

Abstract: The present invention provides a processing apparatus (10) including: a web product image acquisition unit (11) acquiring a web product image publicly available in a web page determined based on a predetermined search condition; a product identification information acquisition unit (12) acquiring product identification information of a product indicated by the web product image; and a registration unit (13) registering the web product image and the product identification information in association with each other in a product database.

Abstract: An image acquisition unit 110 acquires a plurality of images. The plurality of images include an object to be inferred. An image cut-out unit 120 cuts out an object region including the object from each of the plurality of images acquired by the image acquisition unit 110. An importance generation unit 130 generates importance information by processing the object region cut out by the image cut-out unit 120. The importance information indicates the importance of the object region when an object inference model is generated, and is generated for each object region, that is, for each image acquired by the image acquisition unit 110. A learning data generation unit 140 stores a plurality of object regions cut out by the image cut-out unit 120 and a plurality of pieces of importance information generated by the importance generation unit 130 in a learning data storage unit 150 as at least a part of the learning data.

Abstract: A learning device is configured to acquire first training data that is training data regarding a registered category object and second training data regarding an unregistered category object, the registered category object belonging to a registered category which is registered as an identification target, the unregistered category object not belonging to the registered category. The learning device is also configured to calculate, on a basis of the first training data and the second training data, an identification score indicating a degree of certainty that an object to be identified belongs to the registered category. The learning device is also configured to calculate, on a basis of the second training data, an unregistered score indicating a degree of certainty that the object to be identified does not belong to the registered category.

Abstract: This learning data generation device (10) is provided with: an identification unit (11) which identifies a subject included in a first captured image, and generates an identification result in which information indicating the type and existence of the identified subject or the motion of the identified subject is associated with the first captured image; and a generation unit (12) which generates learning data on the basis of the identification result and a second captured image, which is associated with the first captured image but is different in type from the first captured image.

Abstract: A sales management system (1) is configured to include an image processing unit (110) and an output unit (130). The image processing unit (110) identifies, based on an image of a purchase product, the product and a package design of the product. The output unit (130) outputs sales performance information by package design of the product, based on an identification result of the product and the package design of the product.

Abstract: A training data generation device performs the processes of: acquiring first correct answer data that is correct answer data with respect to each training image of a training image group, the training image group including plural training images to be given the correct answer data, the training image group being divided into plural image subgroups, the first correct answer data being generated in a different situation for each of the plural image subgroups; generating a discriminator with respect to the each of the plural image subgroups, the discriminator being learned based on the each of the plural image subgroups and the first correct answer data corresponding to the each of the plural image subgroups; acquiring a discrimination result outputted by the discriminator for each of the plural training images by inputting the each of the plural training images to the discriminator which is generated based on at least one image subgroup other than an image subgroup to which the each of the training images belon

Abstract: A teaching data correction device sets, for teaching data indicating an object area where an object of interest exists in a training image, a correction candidate area which is an area to be a correction candidate of the object area, the training image being used for learning. The teaching data correction device generates an output machine based on the correction candidate area, the output machine being learned to output, when an image is inputted thereto, an identification result or a regression result relating to the object of the interest. Then, the teaching data correction device updates the teaching data by the correction candidate area based on an accuracy of the output machine, the accuracy being calculated based on the identification result or the regression result outputted by the output machine.

Abstract: This invention provides a processing apparatus (10) including an image acquisition unit (11) that acquires an appearance image of each of a plurality of products, a sales-related information acquisition unit (12) that acquires sales-related information concerning the sales details of each of the plurality of products, a registration unit (13) that stores product identification information of each of the plurality of products, the sales-related information, and the appearance image in a storage unit (14) in association with each other, and an output unit (16) that arranges a plurality of appearance images associated with the identical product identification information in a predetermined order, based on the sales-related information, and outputs the plurality of arranged appearance images.

Abstract: This invention provides a processing apparatus (10) including a container identification score computation unit (11) that computes an identification score of a container for a product, based on an image to be processed containing the product, a product identification score computation unit (12) that computes an identification score of the product, based on the image to be processed, and a first identification unit (13) that decides identification information of the product, based on the computed identification score of the container and the computed identification score of the product.

Abstract: The present invention provides a processing apparatus (10) including: an object area determination unit (11) that estimates an area within an image where an object is located; an appearance product determination unit (12) that determines product identification information of the object, based on an appearance feature of the object; a code area determination unit (13) that estimates an area within the image where a code is located; a code product determination unit (14) that determines product identification information indicated by the code; a correlation unit (15) that determines a pair of the object and the code in which areas estimated to be located within the image overlap each other; and a determination unit (16) that determines product identification information of a product included in the image, based on the product identification information determined by the appearance product determination unit (12), the product identification information determined by the code product determination unit (14), and

Abstract: An information presentation device acquires a training image to be used for a learning and acquires an estimated target object position that is a position estimated as an area or coordinates where a target object exists in the training image. Then, information presentation device acquires a specified target object position that is a position specified as the area or the coordinates where the target object exists in the training image and presents information for prompting a user to confirm the area or the coordinates where the target object exists based on a difference between the estimated target object position and the specified target object position.

Abstract: The object recognition system comprises: a detection unit for detecting a moving target object as an object to be recognized; an imaging unit for capturing a moving image of the target object; a control unit for controlling the state of objects, the state of which can be changed in a capturing area of the imaging unit, on the basis of the output of the detection unit such that a change in light quantity or hue between captured images due to the change in the state of the objects falls within a predetermined range; an identification unit for, upon detecting the change in the state of the objects included in the moving images, identifying a captured image to be recognized; and a recognition unit for recognizing the target object included in the identified captured image.