Abstract: To simultaneously avoid contact with a front subframe and secure a connection space for a harness, a front subframe has a right and left pair of side frame sections, each of which is located in front of and below a dashboard. A converter and a vehicle component are provided behind a rear end portion of one of the side frame sections. The converter is arranged along a lower surface of a floor panel, and the vehicle component is arranged adjacent to rear of the converter. The converter is arranged in a vertically inclined state, a front-end portion of the converter is located higher than the rear end portion of the side frame section, and a rear end portion of the converter is located lower than the vehicle component.

Abstract: For the purpose of providing an image encoding technique for reducing the amount of codes, in inter prediction in which motion search is performed by using a block obtained by dividing an input image and a reference image, the motion vector of the block is predicted by selecting from the motion vectors of the surrounding blocks. Further, in the method of calculating a differential vector and then performing encoding, the number or positions of candidate blocks from which a prediction vector is selected are changed block by block or frame by frame and thereby adaptive and efficient video image compression is performed.

Abstract: For the purpose of providing an image encoding technique for reducing the amount of codes, in inter prediction in which motion search is performed by using a block obtained by dividing an input image and a reference image, the motion vector of the block is predicted by selecting from the motion vectors of the surrounding blocks. Further, in the method of calculating a differential vector and then performing encoding, the number or positions of candidate blocks from which a prediction vector is selected are changed block by block or frame by frame and thereby adaptive and efficient video image compression is performed.

Abstract: Provided are: an amodal segmentation unit that generates a set of first amodal masks indicating a probability that a particular pixel belongs to a relevant object for each of objects, with respect to an input image in which a plurality of the objects partially overlap; an overlap segmentation unit that generates an overlap mask corresponding only to an overlap region where the plurality of objects overlap in the input image based on an aggregate mask obtained by combining the set of first amodal masks generated for each of the objects and a feature map generated based on the input image; and an amodal mask correction unit that generates and outputs a second amodal mask, which includes an annotation label indicating a category of each of the objects corresponding to a relevant pixel, for each of pixels in the input image using the overlap mask and the aggregate mask.

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: The present invention provides a more suitable image encoding technique and image decoding technique. In a block division method in image encoding, if a plurality of description formats are present for the same block division state, a division type, a division direction and a division depth are used as a division pattern to select a block division method. In this manner, adaptive and efficient compression of a video image can be performed.

Abstract: In a current image processing environment, providing feedback for a user operation is slow, and a user cannot confirm the result of the operation in real time. Thus, the user interrupts the operation every time the user confirms the feedback, and a time period for performing image processing is long. An image processing device includes a guidance information generator. The guidance information generator acquires trajectory information to be used to segment an image object on an image input from a user, generates guidance information indicating a segmentation region desired by the user based on the trajectory information, and presents the segmentation region based on a user's intention in real-time. The guidance information generator provides a function of smoothly continuously segmenting an image object.

Abstract: Aspects of the disclosure relate to a method for discovering latent factors from data in a neural network environment. Aspects include adding, by a data noise unit of the neural network environment, noise to a set of input data; computing, by the encoder model and a set of stochastic non-linear units, a set of latent code based on the set of input data; obtaining, by decoding the latent code with a decoder model, a set of reconstructed data.

Abstract: To simultaneously avoid contact with a front subframe and secure a connection space for a harness, a front subframe has a right and left pair of side frame sections, each of which is located in front of and below a dashboard. A converter and a vehicle component are provided behind a rear end portion of one of the side frame sections. The converter is arranged along a lower surface of a floor panel, and the vehicle component is arranged adjacent to rear of the converter. The converter is arranged in a vertically inclined state, a front-end portion of the converter is located higher than the rear end portion of the side frame section, and a rear end portion of the converter is located lower than the vehicle component.

Abstract: For the purpose of providing an image encoding technique for reducing the amount of codes, in inter prediction in which motion search is performed by using a block obtained by dividing an input image and a reference image, the motion vector of the block is predicted by selecting from the motion vectors of the surrounding blocks. Further, in the method of calculating a differential vector and then performing encoding, the number or positions of candidate blocks from which a prediction vector is selected are changed block by block or frame by frame and thereby adaptive and efficient video image compression is performed.

Abstract: For the purpose of providing an image encoding technique for reducing the amount of codes, in inter prediction in which motion search is performed by using a block obtained by dividing an input image and a reference image, the motion vector of the block is predicted by selecting from the motion vectors of the surrounding blocks. Further, in the method of calculating a differential vector and then performing encoding, the number or positions of candidate blocks from which a prediction vector is selected are changed block by block or frame by frame and thereby adaptive and efficient video image compression is performed.

Abstract: An efficient alert process is realized and effectiveness of surveillance is improved when surveilling various incidents that occur within a surveillance area. In a video surveillance system for detecting a plurality of incidents in a surveillance area using a video that captured the surveillance area, provided are a calculation unit which detects an image of a person and/or an object from the video, and calculates an incident feature quantity as a feature quantity representing a status of a detected person and/or a feature quantity of a detected object, and a determination unit which detects an occurrence of the incident based on the incident feature quantity, and determines subjects to be alerted of an occurred incident, which is a detected incident, from a type of the occurred incident and a determination accuracy of the occurred incident.

Abstract: An object of the disclosure is to provide flexible and highly accurate activity detection means. Provided is an activity detection device including: an input unit that inputs an image sequence including a first image and a second image; an object detection unit that detects a first object in the image sequence; a component model unit that generates first characteristic information characterizing the first object and includes at least one individually trainable component model; and an activity detection unit that generates a first object state corresponding to the first object in the first image and a second object state corresponding to the first object in the second image based on the first characteristic information and determines an activity related to the first object based on the first and second object states.

Abstract: A video processing apparatus that processes a video of a moving body captured by a camera is configured to sample frames output from the camera at a predetermined rate, calculate a direction of motion of the moving body based on a sequence of a plurality of the frames, and extract a feature amount of the video by performing convolution processing together on the plurality of the frames based on the calculated direction.

Abstract: An object of the present invention is to provide a video analysis system and a video analysis method in which ownership between a person and baggage can be comprehensively determined. In a system that analyzes videos photographed by plural cameras, a detection/tracking process is performed for first and second objects using videos of plural cameras, and a relationship degree between the first and second objects is determined on the basis of the types of the first and second objects and a distance between the objects to be stored in a database.

Abstract: An efficient alert process is realized and effectiveness of surveillance is improved when surveilling various incidents that occur within a surveillance area. In a video surveillance system for detecting a plurality of incidents in a surveillance area using a video that captured the surveillance area, provided are a calculation unit which detects an image of a person and/or an object from the video, and calculates an incident feature quantity as a feature quantity representing a status of a detected person and/or a feature quantity of a detected object, and a determination unit which detects an occurrence of the incident based on the incident feature quantity, and determines subjects to be alerted of an occurred incident, which is a detected incident, from a type of the occurred incident and a determination accuracy of the occurred incident.

Abstract: Provided are: an amodal segmentation unit that generates a set of first amodal masks indicating a probability that a particular pixel belongs to a relevant object for each of objects, with respect to an input image in which a plurality of the objects partially overlap; an overlap segmentation unit that generates an overlap mask corresponding only to an overlap region where the plurality of objects overlap in the input image based on an aggregate mask obtained by combining the set of first amodal masks generated for each of the objects and a feature map generated based on the input image; and an amodal mask correction unit that generates and outputs a second amodal mask, which includes an annotation label indicating a category of each of the objects corresponding to a relevant pixel, for each of pixels in the input image using the overlap mask and the aggregate mask.

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: 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.