Abstract: A method and apparatus for predicting an intention acquires a gaze sequence of a user, acquires an input image corresponding to the gaze sequence, generates a coded image by visually encoding temporal information included in the gaze sequence to the input image, and predicts an intention of the user corresponding to the gaze sequence based on the input image and the coded image.

Abstract: Embodiments provide slide navigation technology that addresses challenges in digital pathology of navigating and viewing high resolution slide images. Example systems comprise a virtual slide stage (VSS) having at least one sensor that detects user movement of a target placed on the VSS, and an input component, coupled to the VSS, which provides quick function movement control of the target via quick functions. The systems also comprise a connector component that connects the VSS to a user device and transmits output from the at least one sensor and input component to the user device. The systems further comprise a computer processor, in communication with the VSS, which processes the output using a computational model to generate data representing movement profiles of the target. The computer processor executes a software component, causing the output, translated based on the movement profiles, to be relayed via a viewing application on the user device.

Abstract: A key identification system is provided. The key identification system comprises an imaging system to capture an image of a master key, and a logic to analyze the captured image. The imaging system may be capture an image of a groove in the master key from an angle between perpendicular and parallel to the blade of said master key. The logic analyzes the captured image to compare characteristics of the groove with groove characteristics of known key blanks to determine the likelihood of a match between the master key and a known key blank. The key identification system may further compensate for displacement or orientation of the master key with respect to the imaging system when analyzing characteristics of the groove.

Abstract: The systems and methods herein provide improved methodologies for visualization on a user's display of sensor data (e.g., 2D and 3D information obtained from or derived from sensors) for objects, components, or features of interest in a scene. The previously acquired sensor data is processable for concurrent display of objects/features/scene or location visualizations to a user during their real-time navigation of a scene camera during a variety of user visualization activities. Sensor data can be acquired via the operation of vehicles configured with one or more sensors, such as unmanned aerial vehicles, or from other methodologies, or from any other suitable sensor data acquisition activities. Objects etc. for which acquired sensor data can be visualized by a user on a display includes buildings, parts of buildings, and infrastructure elements, among other things.

Abstract: Disclosed are various embodiments for initiating execution of an application based at least in part on an identification of the object in an image, video, or other graphical representation of the object. A graphical representation of an object is obtained using an image capture device. The object in the graphical representation is identified along with a list of applications associated with the identified object. A user interface is then rendered that allows the user to execute or install one or more of the applications associated with the identified object.

Abstract: An object detection algorithm is selectively applied to frames in a video. A frame in the video is analyzed using a set of neural networks of the object detection algorithm to detect a location of an object in the frame and predict a bounding box for the object in the frame. A magnitude of a delta between the frame and a second frame is determined. The magnitude of the delta is determined based on a difference between the two frames in values of at least one parameter of their respective sets of pixels. Responsive to the magnitude of the delta being less than a threshold, a new bounding box is predicted for the object in the second frame without analyzing the second frame using the set of neural networks.

Abstract: A waterproof paint state determining method of a building using a satellite imagery according to an exemplary embodiment of the present disclosure includes receiving search information including information about a location in which a waterproof paint application state of a rooftop of a building is to be measured from a user; searching a search satellite imagery which is at least one satellite imagery corresponding to the search information from a satellite imagery DB including a plurality of satellite imagery data; detecting a rooftop area which is a waterproof paint application area of at least one building corresponding to the search information from the search satellite imagery, using a convolutional neural network (CNN) technique; and calculating a state index which is an index indicating a waterproof paint application state of at least one building, based on reference color information and color information of the rooftop area.

Abstract: The present disclosure generally relates to a method and device of encoding a color picture having color components (Ec) comprising obtaining (11) a luminance component (L) and two chrominance components (C1, C2) from the color picture to be encoded. The method for encoding a color picture having color components comprising obtaining at least one chrominance component from the color picture to be encoded, characterized in that the method further comprises: determining a first factor based on the value of each pixel (i) of said luminance component; obtaining at least one final chrominance component by scaling said at least one chrominance component by said first factor; and encoding (13) said at least one final chrominance component.

Abstract: The present invention enables the automatic generation and recommendation of embedded images. An embedded image includes a visual representation of a context-appropriate object embedded within a scene image. The context and aesthetic properties (e.g., the colors, textures, lighting, position, orientation, and size) of the visual representation of the object may be automatically varied to increase an associated objective compatibility score that is based on the context and aesthetics of the scene image. The scene image may depict a visual representation of a scene, e.g., a background scene. Thus, a scene image may be a background image that depicts a background and/or scene to automatically pair with the object. The object may be a three-dimensional (3D) physical or virtual object. The automatically generated embedded image may be a composite image that includes at least a partially optimized visual representation of a context-appropriate object composited within the scene image.

Abstract: A computer-implemented method for crop type identification using satellite observation and weather data. The method includes extracting current and historical data from pixels of satellite images of a target region, generating temporal sequences of vegetation indices, based on the weather data, converting each timestamp of the temporal sequences into a modified temporal variable correlating with actual crop growth, training a classifier using a set of historical temporal sequences of vegetation indices with respect to the modified temporal variable as training features and corresponding historically known crop types as training labels, identifying a crop type for each pixel location within the satellite images using the trained classifier and the historical temporal sequences of vegetation indices with respect to the modified temporal variable for a current crop season, and estimating a crop acreage value by aggregating identified pixels associated with the crop type.

Abstract: The present application provides a method and an apparatus for three-dimensional object pose estimation, a device and a storage medium. The method includes: calculating a graph of a previous frame and a graph of a current frame for a target three-dimensional object; performing a matching calculation on the graph of the previous frame and the graph of the current frame using a graph matching algorithm to obtain a vertex correspondence relationship between the graph of the previous frame and the graph of the current frame; calculating a pose of the target three-dimensional object in the current frame according to the vertex correspondence relationship, a pose of the target three-dimensional object in the previous frame and a PnP algorithm. The matching accuracy of feature points is effectively improved, and thereby the accuracy of three-dimensional object pose estimation is improved.

Abstract: An image processing system or electronic device may implement processing circuitry. The processing circuitry may receive an image, such as financial document image. The processing circuitry may determine a character count for the financial document image or particular portions of the financial document image without recognizing any particular character in the financial document image. In that regard, the processing circuitry may determine a top left score for pixels in the financial document, the top left score indicating or representing a likelihood that a particular pixel corresponds to a top left corner of a text character. The processing circuitry may also determine top right score for image pixels. Then, the processing circuitry may identify one or more text chunks using the top left and top rights scores for pixels in the financial document image. The processing circuitry may determine a character count for the identified text chunks.

Abstract: A guidance processing apparatus (100) includes an information acquisition unit (101) that acquires a plurality of different pieces of guidance information on the basis of states of a plurality of people within one or more images, and a control unit (102) that performs control of a plurality of target devices present in different spaces or time division control of a target device so as to set a plurality of different states corresponding to the plurality of pieces of guidance information.

Abstract: An image processing method and apparatus. The image processing method includes: obtaining encoded data of a first region and a neighboring region neighboring to the first region in a two-dimensional planar image, where the two-dimensional planar image is an image obtained by mapping a spherical panorama image, and the first region and the neighboring region have an overlapping region; determining a pixel value of a pixel in an image of the first region; determining a pixel value of a pixel in an image of the neighboring region; and determining a target pixel value of a pixel in the overlapping region based on the pixel value of the pixel of the first region in the overlapping region and the pixel value of the pixel of the neighboring region in the overlapping region.

Abstract: In a three-dimensional measurement apparatus, a plurality of cameras and an arithmetic device are connected via a network, and includes: a plurality of photographing units; an image acquisition unit; a local time acquisition unit; a moving object detection unit to detect a moving object from the image; an image holding unit to hold an image in which the moving object is detected, in association with the local time at which the image has been photographed; an image selection unit; a three-dimensional position/synchronization deviation estimation unit to estimate a three-dimensional position of the moving object and a synchronization deviation between cameras, from an image selected by the image selection unit and a local time associated with the image; a synchronization deviation holding unit to hold the synchronization deviation; and an output unit to output an estimation result of the three-dimensional position/synchronization deviation estimation unit.

Abstract: Systems, methods, and computer-readable media are described for providing machine-learning assistance to a user who may be visually-impaired in the form of cognitive snapshots taken of an environment. The visually-impaired user can be guided by a user application executing on a user device to position the user device to capture an image of a desired portion of an environment. Object recognition processing is performed on the captured image to identify objects present in the environment. An audible listing of the identified objects can be presented to the user. A delta between objects identified across different snapshots can be determined and an indication thereof can be presented to the user. The user application can guide the user towards a particular desired object by outputting an audible or haptic signal that increases in intensity as the user scans the user device towards a location of the object in the environment.

Abstract: A mechanism is described for facilitating the transfer of features learned by a context independent pre-trained deep neural network to a context dependent neural network. The mechanism includes extracting a feature learned by a first deep neural network (DNN) model via the framework, wherein the first DNN model is a pre-trained DNN model for computer vision to enable context-independent classification of an object within an input video frame and training, via the deep learning framework, a second DNN model for computer vision based on the extracted feature, the second DNN model an update of the first DNN model, wherein training the second DNN model includes training the second DNN model based on a dataset including context-dependent data.

Abstract: Provided is a service providing apparatus using satellite imagery. The service providing apparatus includes a satellite image information acquirer configured to acquire a satellite image; an object extractor configured to analyze the satellite image, extract an object from the satellite image, and generate an object image corresponding to the object; a storage configured to store the satellite image and the object image; and a service processing unit configured to provide an object extraction-based service and coding data associated with the object extraction-based service, based on at least one of the satellite image and the object image, and thereby provides a method of identifying and classifying various types of objects and buildings present on the ground surface based on image data on the ground surface.

Abstract: The present application discloses an image processing method and a system thereof. The method and the system may transform a list of color table adjustment parameters into one or more preset texture models, and associate a particular texture model with a particular image through an interactive mode. The method may include: obtaining an image including at least one pixel or voxel, obtaining a texture model, associating the image with the texture model; determining an output color of the at least one pixel or voxel based on the texture model associated with the image; and generating an output image based on the output color. The image processing method and system thereof provided by the present application may effectively improve the adjustment efficiency of the image display effect and the interaction experience.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a biometric authentication system. In one aspect, a method includes broadcasting, through a transceiver, a signal that includes a kiosk identifier; receiving, from a server system, a reference image of the user based on a mobile computing device associated with the user having received the signal and providing the kiosk identifier to the server system; capturing, with a camera, an image of the user; and authenticating the user based on a comparison of the captured image of the user to the reference image of the user based on a comparison of the captured image of the user to the reference image of the user.