Abstract: A communication terminal includes: a display, an input device for accepting a first operation instruction; a communication device for connection with a server and another terminal; and a control unit for receiving first contents from the server via the communication device according to the first operation instruction, determining whether connection with another terminal is established or not, transmitting the first contents to another terminal via the communication device when a determination is made that connection with another terminal is established, and causing the display to show the first contents.

Abstract: A notification control method, system, and non-transitory computer readable medium, include a state of flow detecting circuit configured to detect a state of flow of a user from brain waves of the user from user data and a notification control circuit configured to cause a physical notification to be displayed based on the detected state of flow of the user.

Abstract: Systems and methods for detecting udder disease based on machine learning methods and complementary supporting techniques are presented. Included are methods for assembling time sequences of images of each animal of a herd or set for subsequent use in per-animal image analysis for disease detection. Methods presented also include image pre-processing methods used prior to image analysis, resulting in contrast and resolution optimization such as appropriate image intensity level adjust wilt and resolution down sampling for more rapid and more accurate disease detection. Combinatorial techniques for compositing whole-udder images or udder-quarter images from partial images captures are described. Methods are provided for power usage optimization in regard to computing resources used in the computing-intensive AI analysis methods. Location-based and animal history-based detection refinements are incorporated into described systems.

Abstract: A system for processing medical image data stores high information content volumetric (HICV) data reconstructed from different medical imaging devices. Images normally requiring differing image imaging parameters can instead be created by processing of the HICV data, importantly without access to the original reconstruction algorithms or machine. The invention also allows different medical images to be harmonized for ready comparison or according to a desired image sequence for particular diagnostic purpose without any need to rescan the patient or to enforce cumbersome universal protocol standards.

Abstract: Aspects of the present disclosure include devices configured for wireless communication with a mobile computing device having GPS capability that allow a user to record the user's current location with the user's mobile computing device without having to physically access the mobile computing device. Such devices can allow a user to mark or record a location or waypoint to a mobile computing device, such as a GPS-enabled mobile phone, using a wireless remote and software configured to enable communication with the mobile computing device. Such devices can enable a user to mark and record locations for navigation without having to physically touch and operate the mobile computing device.

Abstract: An image processing apparatus includes a character recognition section, a translation section, an image processing section, a selection acceptance section, and a control section. The character recognition section performs character recognition processing on image data. The translation section translates an original text obtained through the character recognition processing performed by the character recognition section into a predetermined language and creates a translated text. The image processing section generates a replaced image in which a text portion of an original image shown in the image data is replaced from the original text by the translated text. The selection acceptance section accepts an instruction of selecting, as an output target, either one or both of the original image shown in the image data and the replaced image. The control section performs, in accordance with the accepted instruction, processing of outputting an output target image selected as the output target.

Abstract: Disclosed is a technique for automatically performing disease detection using image processing. The technique includes receiving, from image capture devices, a first image depicting a first set of plants of a first unit and a second image depicting a second set of plants of a second unit. One or more metrics associated with the first and second sets of the plants are measured based at least on the images. At least one difference in the first and second sets of the plants is detected based at least on differences in the measurement for the one or more metrics associated with the first set of the plants and the second set of the plants. In response to detecting the at least one difference, additional images of the plants are requested from the one or more image capture devices to detect the presence of plant disease.

Abstract: An approach is provided for detecting a presence of a physical divider on a road segment. The approach, for example, involves receiving sensor data from a vehicle traveling a road segment. The sensor data indicates a distance from the vehicle to the physical divider, a cross-sensor consistency of detecting the physical divider between at least two sensors of the vehicle, or a combination thereof. The approach also involves determining that the sensor data indicates the presence of the physical divider based on determining that the distance is within distance criteria, the cross-sensor consistency is within consistency criteria, or a combination thereof. The approach further involves updating data provided by a physical divider signal from the vehicle to indicate the presence of the physical divider on the road segment.

Abstract: A system and a method for performing viewer gaze analysis are provided. The method includes detecting at least one item worn by a user of a wearable computing device, detecting at least one gaze of a viewer towards the at least one item worn by the user, and providing at least one recommendation for the user based on the at least one gaze.

Abstract: A method for determining respiratory induced blood mass change from a four-dimensional computed tomography (4D CT) includes receiving a 4D CT image set which contains a first three-dimensional computed tomographic image (3D CT) and a second 3D CT image. The method includes executing a deformable image registration (DIR) function on the received 4D CT image set, and determining a displacement vector field indicative of the lung motion induced by patient respiration. The method further includes segmenting the received 3D CT images into a first segmented image and a second segmented. The method includes determining the change in blood mass between the first 3D CT image and the second 3D CT image from the DIR solution, the segmented images, and measured CT densities.

Abstract: A case for a communication device such as a cell phone, said case including a tool such as a weapon.

Abstract: A system comprises an encoder configured to compress attribute information for a point cloud and/or a decoder configured to decompress compressed attribute for the point cloud. To compress the attribute information, multiple levels of detail are generated based on spatial information. Also, attribute values are predicted based on the level of details. A decoder follows a similar prediction process based on level of details. Also, attribute correction values may be determined to correct predicted attribute values and may be used by a decoder to decompress a point cloud compressed using level of detail attribute compression. In some embodiments, an update operation is performed to smooth attribute correction values taking into account an influence factor of respective points in a given level of detail on attributes in other levels of detail.

Abstract: A system comprises an encoder configured to compress attribute information and/or spatial for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. To compress the attribute and/or spatial information, the encoder is configured to convert a point cloud into an image based representation. Also, the decoder is configured to generate a decompressed point cloud based on an image based representation of a point cloud. In some embodiments, an encoder may be configured to further compress points omitted from the image based representation. Also, in some embodiments, a decoder may be configured to decode points compressed outside of an image based representation or in a separate image based representation.

Abstract: An electronic component handler includes: a placing plate on which an electronic component can be placed; a camera which picks up an image of the placing plate; a light source of a laser beam which casts the laser beam on the placing plate; and a processor for determining whether the electronic component is placed on the placing plate or not and which controls working of the camera and the light source of the laser beam when the processor carries out determination. When determining whether the electronic component is placed on the placing plate or not, the processor causes the camera to pick up an image of the placing plate in a state where the light source of the laser beam is casting the laser beam on the placing plate, and determines whether the electronic component is placed or not, based on a boundary of luminance in the image.

Abstract: A method for allocating a service request from a mobile object is provided. The method includes receiving the service request and a route of the mobile object, determining estimated arrival times of the mobile object in a plurality of regions based on the route, the plurality of regions being associated with a plurality of regional servers, respectively, determining a region among the plurality of regions based on the estimated arrival times of the mobile object in the plurality of regions and an estimated time for fulfilling the service request, and transmitting the service request to a regional server corresponding to the determined region.

Abstract: Captured images acquired by a plurality of imaging units are output to a captured image combining unit, which generates a composite image by joining the captured images in accordance with composite setting information generated by a composite setting information generation unit. A specific region information generation unit generates specific region information indicating the specific region corresponding to a specific imaging region in the composite image. In accordance with the specific region information, the captured image combining unit can easily perform an invalidation or emphasizing process, for example, on the image corresponding to the specific imaging region. The specific region information is also associated with the composite image generated by the captured image combining unit, so that reproduction control on the specific region corresponding to the specific imaging region in the composite image can be performed at the time of reproduction or the like of the composite image.

Abstract: A method of LiDAR-based vehicle tracking for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps including: calculating the probability of a cluster pair that belongs to a same vehicle using tracking information from a previous frame and spatial information from current frame, determining that the clusters of the cluster pair are merged into one by taking both spatial information and tracking information into consideration, and merging the clusters into a single, complete cluster.

Abstract: A system comprises an encoder configured to compress attribute information and/or spatial for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. A point cloud attribute transfer algorithm may be used to determine distortion between an original point cloud and a reconstructed point cloud. Additionally, the point cloud attribute transfer algorithm may be used to select attribute values for a reconstructed point cloud such that distortion between an original point cloud and a reconstructed version of the original point cloud is minimized.

Abstract: A tire deformation calculator includes a processor. The processor (i) detects a contour of a side face of a tire attached to a wheel of a vehicle in a captured image; (ii) calculates load deformation of the contour of the side face, the load corresponding to a weight of the vehicle; (iii) identifies a circular or polygonal shape or pattern on a plane parallel to the contour of the side face; (iv) determines a conversion value for converting the identified shape or pattern in the captured image to a perfect circle or a regular polygon; (v) calculates a predetermined value indicating the load deformation of the tire in the captured image based on the conversion value; and (vi) calculates the load deformation based on the predetermined value.

Abstract: Provided is a detection method of a detection device. The detection device detects at least one object from an image by using depth information about the image obtained by a camera. The detection device identifies whether said at least one object is a person through three-dimensional (3D) head model matching, which matches a head candidate area of said at least one object with a 3D head model. The detection device calculates a feature for detection of a situation by using said at least one object when it is identified that said at least one object is the person.