Abstract: A computer-implemented method includes: monitoring, by a computing device, respective locations of a plurality of user devices; determining, by the computing device, that a particular group of user devices of the plurality of user devices are located within a threshold distance of each other based on monitoring the respective locations of the plurality of user devices; and storing or outputting, by the computing device, grouping information indicating that the particular group of user devices are associated with a single user based on the determining that the particular group of user devices are located within a threshold distance of each other.

Abstract: An image data processing method includes receiving frame image data of N frames, where N>1, detecting a region of interest in one of the N frames, tracking locations of the region of interest in at least one of the N frames, and providing a merged location of the region of interest based on the locations of the region of interest in the N frames. Some embodiments include providing T of the merged locations of the region of interest for T respective groups of N frames, where T>1, providing respective statistical data for each of the T merged locations, and providing a final location of the region of interest based on the T merged locations and the statistical data for the T merged locations.

Abstract: Novel techniques are described for automated transition classification for binge watching of content. For example, a number of frame images is extracted from a candidate segment time window of content. The frame images can automatically be classified by a trained machine learning model into segment and non-segment classifications, and the classification results can be represented by a two-dimensional (2D) image. The 2D image can be run through a multi-level convolutional conversion to output a set of output images, and a serialized representation of the output images can be run through a trained computational neural network to generate a transition array, from which a candidate transition time can be derived (indicating a precise time at which the content transitions to the classified segment).

Abstract: A mechanism for controlling configuration of secondary-connectivity for dual connectivity service in a system including a first access node and a second access node. The first access node or another entity detects occurrence of a threshold extent of secondary-connection addition failures involving the second access node, each secondary-connection addition failure comprising failure of a respective attempt to set up secondary air-interface connectivity between a user equipment device (UE) and the second access node for use in dual-connectivity service of the UE. And responsive to at least the detecting, a measurement threshold that the first access node will impose for use in UE evaluation of coverage of the second access node for dual-connectivity setup is dynamically increased from a first coverage-strength value to a stronger second coverage-strength value so as to require stronger coverage of the second access node as a condition for adding secondary-connectivity with the second access node.

Abstract: An electronic device for a store is provided comprising a front-facing camera, a rear-facing camera, a display, and processing circuitry configured to receive an identity of at least one target product that meets one or more predetermined product criteria. The processing circuitry is further configured to capture a first image via the rear-facing camera and determine that the target product proximate the electronic device is depicted in the first image, and to capture a second image via the front-facing camera and detect a shopper in a vicinity of the electronic device is depicted in the second image. The processing circuitry is further configured to in response to determining that the target product proximate the electronic device is depicted in the first image and detecting that the shopper in a vicinity of the electronic device is depicted in the second image, displaying a message related to the target product.

Abstract: The present disclosure provides a method and an apparatus for determining an attitude angle of a camera, capable of improving the accuracy of the attitude angle of the camera, and in turn the accuracy of the attitude of the camera that is obtained based on the attitude angle of the camera. The present disclosure can also improve the accuracy of object distance measurement and vehicle positioning based on the attitude angle of the camera. In the method for determining an attitude angle of a camera, the camera is fixed to one and the same rigid object in a vehicle along with an Inertial Measurement Unit (IMU).

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.