Abstract: A housing device (20) includes a housing portion (22), a light source (200), and an optical sensor (300). The housing portion (22) includes a holding body (100). An article is housed in the housing portion (22). The holding body (100) extends in one direction. The light source (200) is attached to the holding body (100) along the one direction. The light source (200) applies light toward at least a part of a space (S) located on a side of the holding body (100) with respect to the one direction of the holding body (100), a front of the space (S), and a back of the space (S). The optical sensor (300) is attached to the holding body (100). At least a part of a visual field of the optical sensor (300) faces in at least a part of the space (S), the front of the space (S), and the back of the space (S).

Abstract: An object recognition device (10) includes a holding body (100), a light source (200), and an optical sensor (300). The holding body (100) extends in one direction. The light source (200) is attached to the holding body (100) along the one direction. The light source (200) applies light toward at least a part of a space (S) located on a side of the holding body (100) with respect to the one direction of the holding body (100), a front of the space (S), and a back of the space (S). The optical sensor (300) is attached to the holding body (100). At least a part of a visual field of the optical sensor (300) faces in at least a part of the space (S), the front of the space (S), and the back of the space (S).

Abstract: An image acquisition unit (11) acquires a recognition processing image. A recognition unit (12) recognizes a product in the recognition processing image based on an estimation model. A registration unit (13) registers a result of the recognition in recognized product information. An output unit (14) outputs a result of the recognition. A correction reception unit (16) receives an input for correcting a result of the recognition. A correction unit (17) changes a result of the recognition to a result of the recognition after a correction, and also stores correction information in which a result of the recognition after a correction and the recognition processing image are associated with each other. A learning unit (18) performs relearning by using the recognition processing image stored as the correction information and updates the estimation model, when a number of the recognition processing image stored exceeds a predetermined value.

Abstract: In an information processing device, an acquisition means acquires a plurality of videos including a video material and a digest video. A coincident segment detection means detects each coincident segment where the video material and the digest video match with each other in content. A training data generation means generates training data from the video material based on the coincident segment.

Abstract: In an information processing device, an acquisition means acquires a video material. An image recognition means detects an image of a target object from the video material. An event segment detection means detects each event segment in the video material by using a detection result of the image of the target object. A digest video is created by connecting event segments being detected in a time series.

Abstract: In an information processing device, an acquisition means acquires a video material. An important scene detection means detects an important scene in the video material. An event segment detection means detects an event segment in the video material by using a detection result of the important scene.

Abstract: A product identification apparatus (20) includes an acquisition unit (210), and an image processing unit (220). The acquisition unit (210) acquires a plurality of images captured by an image capturing apparatus (10). These plurality of images are generated by capturing an image of a same product shelf (40) while changing a parameter. The image processing unit (220) determines a product (50) located on the product shelf (40) by processing these plurality of images, and outputs a result of the determination. The determination result is, for example, the one in which product identification information (e.g., a JAN code) of the product (50), and a position of the product (50) on the product shelf (40) are associated with each other.

Abstract: An information processing device 1X mainly includes a slow motion video generation means 16X and a digest candidate generation means 18X. The slow motion video generation means 16X generates a slow motion video SL being video data in which a playback speed of the first candidate video data Cd1 is slower than a normal speed, with respect to first candidate video data Cd1 being video data corresponding to a segment of a portion selected from video material data Dm. Here, the digest candidate generation means 18X generates digest candidate Cd being a candidate of a digest of the video material data Dm based on the video material data Dm and the slow motion video SL.

Abstract: An image capturing apparatus includes an image acquisition unit, a display processing unit, and a storage processing unit. The display processing unit displays, on a display, an image acquired by the image acquisition unit. After the storage processing unit stores a first image in an image storage unit, the display processing unit repeatedly displays a latest image (a real-time image) generated by an image capturing unit, in a second display region being adjacent to a first display region, which is a part of the display, of the display, while displaying at least an edge of the first image in the first display region. Then, the storage processing unit performs processing for storing the real-time image or an image generated thereafter, in the image storage unit as a second image, when continuity of an edge of the first image and the real-time image in the display satisfies a criterion.

Abstract: A product identification apparatus (20) includes an acquisition unit (210), an image processing unit (220), and a storage processing unit (230). The acquisition unit (210) acquires an image generated by an image capturing apparatus 10. The image includes a product shelf (40) and a product (50). The image processing unit (220) determines a position where continuity of the product shelf (40) is broken by processing the image acquired by the acquisition unit (210), and divides the product shelf (40) into a unit region by using the position. Further, the image processing unit (220) determines a kind and a product name of the product (50) by processing the image acquired by the acquisition unit (210). The storage processing unit (230) causes a storage unit (240) to store product identification information of the product (50) located in the unit region, for each unit region of the product shelf (40).

Abstract: The present invention provides a processing apparatus (10) including: an object region detection unit (11) that detects, from an image, an object region being a region including an object; a reliability computation unit (12) that computes, for each product, reliability in which each of the products is included in an image of the object region; an image parameter computation unit (13) that computes an image parameter related to an image of the object region; a threshold value setting unit (14) that sets a threshold value of the reliability, based on the image parameter; and a product determination unit (15) that determines, based on the reliability of each of the products and the threshold value, the product included in an image of the object region.

Abstract: The present invention provides a processing apparatus (10) including: an acquisition unit (11) that acquires a product pickup image indicating a scene of picking up a product from a first product shelf by a customer; a determination unit (12) that determines a product group displayed on the first product shelf, based on shelf-based display information indicating a product displayed on each product shelf; and a first recognition unit (13) that recognizes a product included in the product pickup image by recognition processing in which the determined product group is set as a collation target among pieces of product feature value information indicating a feature value of an external appearance of a plurality of products.

Abstract: The present invention provides a processing apparatus (10) including an acquisition unit (11) that acquires an image including a product, a detection unit (12) that detects, from the image, a target region being a region including an observation target, a computation unit (13) that computes an evaluation value of an image of the target region, and a registration unit (14) that registers the image as an image for learning, when the evaluation value satisfies a criterion.

Abstract: The information processing device mainly includes a reference time determination means 16X, a further camera shot extraction means 17X, and a digest candidate generation means 18X. The reference time determination means 16X determines a reference time Tref being a time or a time period for extracting video data of a second camera different from a first camera, based on candidate video data Cd1 to be a candidate of a digest of a first video material data from the first camera. The further shot extraction means 17X extracts a further camera shot Sh corresponding to a portion of a second video material data from the second camera based on the reference time Tref. The digest candidate generation means 18X generates a digest candidate Cd being a digest for the first and second video material data, based on the candidate video data Cd1 and the further camera shot Sh.

Abstract: The information processing device 1X mainly includes a pair determination means 15X and a relevance degree calculation unit 16X. The pair determination means 15X is configured to determine a pair of data at least one member of which is a first digest candidate that is a candidate of a digest, the data including at least one of video data or audio data. The relevance degree calculation means 16X is configured to calculate a degree of relevance indicating a degree of probability that the pair determined by the pair determination means 15X is included in the digest at a time.

Abstract: An information processing device 1X mainly includes an inference means 15X, an input reception means 16X, and a digest candidate generation means 17X. The inference means 15X acquires an inference result for each inference engine to video material data by a plurality of inference engines which perform respective inferences concerning a degree of importance with respect to video data being input. The input reception means 16X receives an input indicating parameters concerning the inference result for each inference engine. The digest candidate generation means 17X generates a digest candidate which is a candidate of a digest of the video material data, based on the parameters and the inference result for each inference engine.

Abstract: The video processing device includes a video acquisition means, a person identification means, an importance calculation means, and an importance integration means. The video acquisition means acquires a material video. The person identification means identifies a person from the material video. The importance calculation means calculates an importance of the material video. The importance integration means integrates the importance for each person and outputs a person importance indicating an importance for each person.

Abstract: The present invention provides a processing apparatus (10) including: an acquisition unit (11) that acquires a plurality of time-series images including a display area; a product detection unit (12) that detects a product from each of a plurality of the time-series images; an identity determination unit (13) that determines identity of products detected from the images that are different from each other; a display time management unit (14) that manages a display time of each detected product, based on a result of the detection and a result of the identity determination; and an output unit (15) that outputs information related to the display time of each detected product.

Abstract: The information processing device 1X mainly includes an input data acquisition means 14X, an importance degree calculation means 15X, and an attention part identification means 16X. The input data acquisition means 14X is configured to acquire input data “Di” including at least one of video data or audio data. The importance degree calculation means 15X is configured to calculate a degree of importance of the input data Di. The attention part identification means 16X is configured to identify an attention part of the input data Di in a calculation of the degree of importance.

Abstract: In a video processing device, a video acquisition means acquires a material video. An importance calculation means calculates importance in the material video using a plurality of models. An importance integration means integrates the importance calculated using the plurality of models. A generation means extracts important scenes in the material video based on the integrated importance and generates a digest video including the extracted important scenes.