Abstract: An object of the invention is to configure an object search device capable of expressing information on shapes and irregularities as features only by images, in a search for an object that is characteristic in shape or irregularity, and performing an accurate search.

Abstract: In a case of receiving an access request to a target image, an image access management device can provide an appropriate access right holder with an appropriate range of information by determining a browsing level with respect to the target image according to an access authority or purpose included in the access request to the target image, by an access management unit, by generating a final image that corresponds to the access authority by processing the feature vector according to the browsing level, and providing the generated final image as a response to the access request, by an image generation unit.

Abstract: In a data driven object recognition system and object recognition method, a connection relationship between an object feature extraction unit and a plurality of task-specific identification units is stored in a connection switch according to a type of task. The connection relationship is changed based on the connection information to suppress the amount of labeling in constructing a learning data set.

Abstract: A video analysis apparatus is connected to an image capturing apparatus including a plurality of cameras, in which the video analysis apparatus, for a plurality of persons in images captured by the cameras, tracks at least one of the plurality of persons, detects a plurality of parts of the tracked person, and on the basis of information defining scores used to determine a best shot of each of the parts, computes a score for the part for each of frames of videos from security cameras, compares, for each of the parts, the scores for each part computed for each of the frames to determine a best shot of each of the parts, stores, for each of the parts, a feature value in association with the part, and compares the feature values of each of the parts of the plurality of persons to determine identity of the persons.

Abstract: An image search device stores images and tag information about the images, receives an image, extracts, from the image, feature values for search queries a similar image search unit which performs a similar-image search to obtain similar images and grouping information, divides the queries into groups in accordance with the obtained grouping information, calculates the levels of importance of the groups, sorts the search results in accordance with the levels of importance of the groups, and outputs information about the search results for each group.

Abstract: A video analysis apparatus is connected to an image capturing apparatus including a plurality of cameras, in which the video analysis apparatus, for a plurality of persons in images captured by the cameras, tracks at least one of the plurality of persons, detects a plurality of parts of the tracked person, and on the basis of information defining scores used to determine a best shot of each of the parts, computes a score for the part for each of frames of videos from security cameras, compares, for each of the parts, the scores for each part computed for each of the frames to determine a best shot of each of the parts, stores, for each of the parts, a feature value in association with the part, and compares the feature values of each of the parts of the plurality of persons to determine identity of the persons.

Abstract: The invention is directed to an image search device including a search condition input unit that receives a search condition for searching for an image, a query generation unit that generates a first query based on the search condition, an image search unit that searches for an image in a database based on the first query, a relevance estimation unit that estimates relevance between a plurality of images selected by a predetermined operation among images hit by a search, a query correction unit that generates a second query based on the relevance between the plurality of images, and a function of displaying the second query generated by the query correction unit on an interface.

Abstract: An image retrieving apparatus includes a pose estimating unit which recognizes pose information of a retrieval target including a plurality of feature points from an input image, a features extracting unit which extracts features from the pose information and the input image, an image database which accumulates the features in association with the input image, a query generating unit which generates a retrieval query from pose information specified by a user, and an image retrieving unit which retrieves images including similar poses according to the retrieval query from the image database.

Abstract: An image processing device includes a processor, a storage unit coupled to the processor and storing an image database, and a display unit coupled to the processor. The processor obtains arrangement information of a first object on the display unit when the processor accepts an input of the first object via the display unit. The processor obtains first co-occurrence information using the first object and the arrangement information of the first object. The first co-occurrence information indicates a correlation relationship with the first object based on the image database. The processor outputs a candidate for a second object based on the first co-occurrence information to the display unit.

Abstract: In a case of receiving an access request to a target image, an image access management device can provide an appropriate access right holder with an appropriate range of information by determining a browsing level with respect to the target image according to an access authority or purpose included in the access request to the target image, by an access management unit, by generating a final image that corresponds to the access authority by processing the feature vector according to the browsing level, and providing the generated final image as a response to the access request, by an image generation unit.

Abstract: A connection relationship between an object feature extraction unit and a plurality of task-specific identification units is changed based on connection information stored in a connection switch according to a type of a task.

Abstract: An image search device searching an image from an image database storing a recorded image, one or more types of feature values, and propagation information that indicates a link between a same type of the feature values of the recorded image, the device acquires a first image and the one or more types of feature values of the first image, records the first image and the feature values in the image database, calculates a propagation intensity indicating similarity or sameness between the types of feature values of the recorded image and the types of feature values of the first image, and includes in the propagation information a link between the types of feature values of the first image and the types of feature values of the recorded image for which the propagation intensity between the types of feature values of the recorded image and the types of feature values of the first image is at a maximum value.

Abstract: The invention is directed to an image search device including a search condition input unit that receives a search condition for searching for an image, a query generation unit that generates a first query based on the search condition, an image search unit that searches for an image in a database based on the first query, a relevance estimation unit that estimates relevance between a plurality of images selected by a predetermined operation among images hit by a search, a query correction unit that generates a second query based on the relevance between the plurality of images, and a function of displaying the second query generated by the query correction unit on an interface.

Abstract: An image analysis device according to the present invention includes a storage unit storing an image and information of a detected object included in the image, an input unit receiving a target image serving as a target in which an object is detected, a similar image search unit searching for a similar image having a feature quantity similar to a feature quantity extracted from the target image and the information of the object included in the similar image from the storage unit, a parameter deciding unit deciding a parameter used in a detection process performed on the target image based on the information of the object included in the similar image, a detecting unit detecting an object from the target image according to the decided parameter, a registering unit accumulating the target image in the storage unit, and a data output unit outputting the information of the detected object.

Abstract: An object is to provide a machine learning device that can reliably and promptly improve image classification accuracy. A machine learning device of the present invention includes: an image database that stores a plurality of images and image features of these images; and a processor that is connected to this image database and that performs machine learning using the plurality of images and the image features stored in the image database, and the processor preferentially selects a predetermined number of images that are images other than images used in past machine learning and that have the low similarities to the images used in the past machine learning, as images used for machine learning from among the images stored in the image database, and performs new machine learning using the selected images.

Abstract: It is provided an object detection method to be performed by an image analysis device configured with a computer including a processor and a memory, the object detection method comprising: a first step of receiving, by the processor, input of an image and storing the image to the memory; a second step of extracting, by the processor, a partial area which is a part of the input image and storing the partial area to the memory; a third step of evaluating, by the processor, symmetry of the partial area using features extracted from the partial area and reflected features obtained by applying reflection to the features; and a fourth step of determining, by the processor, that the partial area is an object area including an object to be detected in a case where the symmetry of the partial area is evaluated as higher than a predetermined threshold.

Abstract: An image retrieving apparatus includes a pose estimating unit which recognizes pose information of a retrieval target including a plurality of feature points from an input image, a features extracting unit which extracts features from the pose information and the input image, an image database which accumulates the features in association with the input image, a query generating unit which generates a retrieval query from pose information specified by a user, and an image retrieving unit which retrieves images including similar poses according to the retrieval query from the image database.

Abstract: An image processing device includes a processor, a storage unit coupled to the processor and storing an image database, and a display unit coupled to the processor. The processor obtains arrangement information of a first object on the display unit when the processor accepts an input of the first object via the display unit. The processor obtains first co-occurrence information using the first object and the arrangement information of the first object. The first co-occurrence information indicates a correlation relationship with the first object based on the image database. The processor outputs a candidate for a second object based on the first co-occurrence information to the display unit.

Abstract: An image search system comprising an video taking unit that takes a video, a search unit that contains a processor and a storage unit and searches for an image contained in the video, an input unit that receives information that is input to the search unit, and a display unit that displays information that is output from the search unit. The storage unit holds information indicating the shapes of trajectories that represent the travel paths of a plurality of moving objects extracted from the video. When information indicating the shape of a trajectory is input from the input unit, the search unit searches the plurality of moving-object trajectories held in the storage unit for trajectories that are similar to the input trajectory shape, and if such a trajectory is found, the search unit displays, on the display unit, images of the moving objects that have traveled along the found trajectories.

Abstract: An image search device searching an image from an image database storing a recorded image, one or more types of feature values, and propagation information that indicates a link between a same type of the feature values of the recorded image, the device acquires a first image and the one or more types of feature values of the first image, records the first image and the feature values in the image database, calculates a propagation intensity indicating similarity or sameness between the types of feature values of the recorded image and the types of feature values of the first image, and includes in the propagation information a link between the types of feature values of the first image and the types of feature values of the recorded image for which the propagation intensity between the types of feature values of the recorded image and the types of feature values of the first image is at a maximum value.