Abstract: A system and method to create original content by means of merging different content from multiple individual devices into at least one combined content set. The system includes multiple content capture devices, a database that stores media content from the multiple individual devices, a processor that merges the data content, and a server that distributes the merged content. Moreover, the merging processor applies a set of rules as to how the content is to be merged into the combined content set and the distribution server has a set of distribution rules related to how the combined content is distributed and the user(s) that can consume the combined content.

Abstract: The disclosure relates to a computer-implemented method for analyzing an image sequence of a periodic physiological activity, a system, and a medium. The method includes receiving the image sequence from an imaging device, and the image sequence has a plurality of images. The method further includes identifying at least one feature portion in a selected image, which moves responsive to the periodic physiological activity. The method also includes detecting, by a processor, the corresponding feature portions in other images of the image sequence and determining, by the processor, a phase of a the selected image in the image sequence based on the motion of the feature portion.

Abstract: An apparatus is disclosed for recording data to produce a localized panoramic image of a street. The apparatus uses a camera and a device for satellite-based position and time determination, as well as a storage unit. A preparation device is provided which encodes time data of the device for satellite-based position and time determination into a format recordable for the camera and forwards this to the camera. The camera is designed to simultaneously record these data and record a continuous film. The storage unit stores the film with the time data as well as position and time data obtained from the device for satellite-based position and time determination. Furthermore, the apparatus operates in accordance with a method for producing a localized panoramic image.

Abstract: An on-image navigation guide can be generated utilizing coordinates of table data of a table in a document image. The on-image navigation guide enables a user to populate a data entry form with the table data by interacting directly with the document image. The data entry form is configured with the same number of columns as the table and the document image and the data entry form share the same data structure. The on-image navigation guide is presented on top of the document image. As a user navigates the document image, a focus point of the on-image navigation guide moves from table cell to table cell, providing an immediate visual feedback on what is captured in a corresponding data entry field. The on-image navigation guide includes an on-image context menu and a pin through which the user can make adjustments and/or corrections without leaving the document image.

Abstract: Apparatus and methods for the non-uniform downsampling of captured panoramic images. In one embodiment, a computing device is disclosed that includes a processing apparatus and a non-transitory computer readable apparatus comprising a storage medium have one or more instructions stored thereon. The one or more instructions, when executed by the processing apparatus, being configured to: receive captured images, the captured images obtained using two or more image sensors; non-uniformly downsample the received captured images; and encode the non-uniformly downsampled images. In some variants, the non-uniformly downsampled images take into account a desired area of interest within the captured images. In some implementations, the computing device includes an image capture device. Methods and non-transitory computer readable apparatus are also disclosed.

Abstract: The present technique relates to an image processing apparatus, an image processing method, and a program that can easily execute a stitching process. Provided are: an image generation unit that generates a first reference image regarding a first imaging region on the basis of a plurality of first images regarding the first imaging region and that generates a second reference image regarding a second imaging region at least partially overlapping with the first imaging region on the basis of a plurality of second images regarding the second imaging region; and a processing unit that generates positioning information indicating a correspondence between the first imaging region and the second imaging region on the basis of the first reference image and the second reference image. The present technique can be applied to, for example, an image processing apparatus that executes a stitching process of a plurality of images.

Abstract: There is provided an image processing device and method, and a program for enabling improvement in image quality in sensor shift imaging. When performing imaging while shifting the pixel phase of an image sensor having a two-dimensional pixel array, an image processing device adds up, for each pixel phase, a plurality of frames imaged in each pixel phase, and generates an addition frame for each pixel phase. The image processing device then combines the addition frames of the respective pixel phases. The present technology can be applied to a sensor shift imaging system.

Abstract: A system mitigates transitions among pixels a mosaic image. The system uses two balancing adjustments and an easing transition adjustment. The first balancing adjustment uses a histogram to remap the pixels in the mosaic to a normal distribution. The second balancing adjustment minimizes transitions between adjacent individual images in the mosaic based on pixels positions of edge pixels and intensity differences between edge pixels in the adjacent images. The easing transitions adjustment modifies the intensity of a target pixel as a function of a radius from the target pixel, the distance between the target pixel and a nearest neighbor pixel, and an intensity difference between the nearest neighbor pixel and a pixel adjacent to the nearest neighbor pixel. A revised mosaic image is created as a function of the first balancing adjustment, the second balancing adjustment, and the easing transition adjustment.

Abstract: A microscopy system for generating an HDR image comprises a microscope for capturing a plurality of raw images that show a scene with different image brightnesses and a computing device configured to generate the HDR image by combining at least two of the raw images. The computing device is also configured to set coefficients for different regions in the raw images depending on objects depicted in those regions, wherein it is defined via the coefficients whether and to what extent pixels of the raw images are incorporated in the HDR image. The computing device is further configured to generate the HDR image by combining the raw images based on the set coefficients. A method generates an HDR image by combining raw images based on coefficients that are set depending on objects depicted in the raw images.

Abstract: In one aspect, an example method includes (i) obtaining video that depicts an area across multiple frames of the video, wherein the area is part of a scene of the video, and wherein the area is suitable for having an object inserted therein; (ii) detecting the area within the obtained video and determining area characteristic data associated with the detected area; (iii) determining scene attribute data associated with the scene; (iv) using at least the determined area characteristic data and the determined scene attribute data as a basis to select an object from among a set of multiple candidate objects; (v) inserting into the detected area the selected object to generate video that is a modified version of the obtained video; and (vi) outputting for presentation the generated video.

Abstract: Techniques are provided for stitching tile images. A local registration can be performed to determine spatial relationships between pairs of adjacent tile images, in which the spatial relationships may be determined using normalized cross correlation (NCC) scores computed within a multi-resolution framework. A global placement can be performed to position all scanned tile images relative to one another. The global placement is determined with weighted least squares utilizing the determined spatial relationships between all adjacent greyscale tile images and the NCC scores as weights.

Abstract: A method for supporting activation/deactivation of serving cells by a base station (BS) in a wireless communication system provides decreased overhead and decreased power consumption for a user equipment (UE). The method includes configuring M supportable serving cells in the UE, configuring an indicator indicating activation/deactivation of each of the M serving cells, configuring a medium access control (MAC) message which includes a MAC control element (CE) and a logical channel identifier (LCID), the MAC CE including the indicator configured for each of the M serving cells and having a length corresponding to an integer multiple of 8 bits, the LCID indicating that the MAC CE includes the indicator indicating activation/deactivation of each serving cell, and transmitting the configured MAC message to the UE. Accordingly, a control channel or data channel regarding a component carrier is selectively received depending on whether the component carrier is activated.

Abstract: An image decoding method according to the present disclosure comprises the steps of: generating a merge candidate list in a current block; specifying one of a plurality of merge candidates included in the merge candidate list; deriving a first affine seed vector and a second affine seed vector of the current block on the basis of a first affine seed vector and a second affine seed vector of the specified merge candidate; deriving an affine vector for a subblock in the current block, using the first affine seed vector and the second affine seed vector of the current block; and performing motion compensation prediction for the subblock on the basis of the affine vector.

Abstract: A computer system obtains digital video data of at least one physical consumer product (two or more cosmetics products) in a personal care routine; analyzes the digital video data (e.g., using automated object recognition or gesture recognition techniques); detects at least one physical interaction with the at least one physical consumer product (e.g., two or more applications of cosmetics products) based at least in part on the analysis of the digital video data; and causes customized personal care routine data (e.g., a computer animation simulation or a comparison of the user's routine with routines of other users) to be presented in a user interface. The customized personal care routine data is based at least in part on the at least one physical interaction.

Abstract: An optical apparatus includes: a substrate having a first material; an absorption region having a second material different from the first material, the absorption region configured to absorb photons and to generate photo-carriers including electrons and holes in response to the absorbed photons; a first well region surrounding the absorption region and arranged between the absorption region and the substrate, the first well region being doped with a first polarity; and one or more switches each controlled by a respective control signal, the one or more switches each configured to collect at least a portion of the photo-carriers based on the respective control signal and to provide the portion of the photo-carriers to a respective readout circuit.

Abstract: A system is provided for identifying damages of a vehicle. During operation, the system can obtain a set of digital images associated with a set of tagged digital images as training data. Each tagged digital image in the set of tagged digital images may include at least one damage object. Based on the training data, the system can train a damage identification model by reducing noise associated with the damage object; generating a set of feature vectors for the training data; and using the set of feature vectors to optimize a set of parameters associated with the damage identification model to obtain a trained damage identification model. The system can then apply the trained damage identification model to obtain a damage category prediction result and determine a repair solution based on the damage category prediction result.

Abstract: In order to obtain an image processing device capable of performing imaging processing appropriately using object information, the image processing device includes an imaging unit which is capable of selectively acquiring an image for live view and a still image, a drive control unit which acquires the still image through a predetermined operation when the image for live view is periodically acquired at a predetermined first period, and acquires an image for live view again immediately after the still image is acquired, an object detecting unit which detects object information from an image for live view immediately before or immediately after the still image is acquired, and a signal processing unit which processes the still image on the basis of the object information detected by the object detecting unit.

Abstract: The present disclosure relates to a target tracking method, device, medium and apparatus, belongs to the technical field of computers, and can ensure the completeness of tracking. The target tracking method comprises performing object detection on all telephoto image frames captured by telephoto cameras in a multi-camera system, and constructing a detection point set based on object detection result for each frame of the telephoto image; selecting a target tracking point from each detection point set based on the starting tracking point; and connecting the selected target tracking points as a tracking sequence for the starting tracking point.

Abstract: Systems and methods of database optimization and distributed computing are provided herein. In some embodiments, a method includes distributing remote agents to a plurality of remote computing systems, receiving incoming inventory from a database of available inventory via the remote agents, generating standardized inventory records, generating the database of available inventory that retains complete standardized inventory records, generating thin locator style records for the complete standardized inventory records, wherein the thin locator style records include key record identifiers, receiving a query, generating a standardized query, selecting the thin locator style records in response to the standardized query, obtaining the complete standardized inventory records corresponding to the thin locator style records of the selected key record identifiers, and providing the complete standardized inventory records to a requestor.

Abstract: A method for optimizing image capture of a scene by a swarm of drones including a root drone and first and second level-1 drones involves the root drone following a predetermined trajectory over the scene, capturing one or more root keyframe images, at a corresponding one or more root drone orientations and root drone-to-scene distances. For each root keyframe image: the root drone generates a ground mask image for that root keyframe image, and applies that ground mask image to the root keyframe image to generate a target image. The root drone then analyzes the target image to generate first and second scanning tasks for the first and second level-1 drones to capture a plurality of images of the scene at a level-1 drone-to-scene distance smaller than the root drone-to-scene distance; and the first and second level-1 drones carry out the first and second scanning tasks respectively.

Abstract: An image processing apparatus extracts a foreground image corresponding to an object included in a processing image using a background image corresponding to the processing image, and generates the background image from the processing image. The image processing apparatus determines whether it is allowed to update the background image for use in the extraction, and based on a result of the determination, updates the background image for use in the extraction using the generated background image.

Abstract: A computer-implemented method for surface modeling includes: receiving one or more polarization raw frames of a surface of a physical object, the polarization raw frames being captured with a polarizing filter at different linear polarization angles; extracting one or more first tensors in one or more polarization representation spaces from the polarization raw frames; and detecting a surface characteristic of the surface of the physical object based on the one or more first tensors in the one or more polarization representation spaces.

Abstract: A multi-link satellite processor is described that provides command or control information to a vehicle via multi-link satellite downlink signals. Embodiments of the invention provide an Earth-based multi-link satellite processor that process information to generate the command information and to transmit the command information to commercial satellite or low-Earth orbit and satellites. The command information is provided to a vehicle via the multi-link satellite downlink signal in which one or more commercial satellites and at least one low-Earth orbiting satellite are used to generate the multi-link satellite downlink signal.

Abstract: A method and apparatus for color space conversion are provided. An apparatus for converting a color space includes at least one processor configured to convert an original full image of an original color space to a temporary image of a target color space, estimate a color space mapping parameter between the original color space and the target color space, the color space mapping parameter corresponding to the original full image, obtain a residual vector of the target color space based on the temporary image and the color space mapping parameter, convert the residual vector to a residual image of the target color space, and obtain a target full image of the target color space by combining the residual image with the temporary image.

Abstract: A method and system for synchronization of image data is provided. From a plurality of image-capture devices, image data including a plurality of image sequences is received. Each image sequence corresponds to one of the plurality of image-capture devices. A set of sensor data is further received from the plurality of image-capture devices. Each sensor data comprises at least one of an Inertial Measurement Unit (IMU) data and audio data. Based on the received set of sensor data, a match is determined between a first set of image frames of a first image sequence and a second set of image frames of a second image sequence. An offset is computed between the first set of image frames and the second set of image frames, based on the match and the first image sequence is synchronized with the second image sequence based on the computed offset.

Abstract: A medical observation control device and system include a memory that stores a parameter for a first imaging condition of an imager at a first time of capturing a first medical image and circuitry configured to correct for brightness differences between the first medical image captured at the first time and a second medical image captured at a second time. The circuitry is configured to restore the parameter for the first imaging condition as a second imaging condition for capturing the second medical image, control the imager so as to capture an image of an observation object under the second imaging condition as the second medical image, compare the first medical image with the second medical image, and correct brightness of at least one of brightness of the first medical image and brightness of the second medical image based on a comparison result.

Abstract: In one embodiment, a system receives pixel data from a pair of regions of an image generated by an imaging device, the pair of regions includes a first region and a second region, where the first region includes a first plurality of pixels and the second region includes a second plurality of pixels. The system determines a plurality of pixel pairs, where a pixel pair includes a first pixel from the first plurality of pixels and a second pixel from the second plurality of pixels. The system calculates a plurality of contrasts based on the plurality of pixel pairs. The system determines a contrast distribution based on the plurality of contrasts. The system calculates a value representative of a capability of the imaging device to detect contrast based on the contrast distribution. The system determines a reduction in contrast detectability of the imaging device based on the value.

Abstract: Provided is an image processing apparatus (200), comprising: a communicating unit (202) capable of communicating with each of a plurality of image sensors configured to transmit, in respectively different packets, additional data including region information corresponding to a region set with respect to a captured image for each region and region image data indicating an image for each row corresponding to the region; and a processing unit (204) configured to process, in association with each region, the region image data acquired from each of the plurality of image sensors based on the region information included in the additional data acquired from each of the plurality of image sensors, wherein the region information includes a part of or all of identification information of the region, information indicating a position of the region, and information indicating a size of the region.

Abstract: A request for a web page is received at a proxy server. The request originates from a client network application of a client device. The requested web page includes multiple references to multiple images. The proxy server retrieves the requested web page. The proxy server modifies code of the retrieved web page such that the client network application will not, for each one of those images, initially request those images when parsing the page. The proxy server also adds code to the retrieved web page that, when executed by the client network application, causes at least two of the images to be requested with a single request. The proxy server transmits the modified web page to the client device.

Abstract: Various methods and systems are provided for reducing blur in a diagnostic image. In one example, a method includes reducing blur in a diagnostic image by applying a deconvolution filter to the diagnostic image, the deconvolution filter generated from a point spread function (PSF) estimation of blur at each pixel of the diagnostic image, the PSF estimation generated based on a motion vector field between the diagnostic image and a pre-shot image acquired prior to the diagnostic image.

Abstract: According to an exemplary embodiment, a method for pre-cropping digital image data includes: dividing the digital image into segments; computing a color value distance between corresponding pixels of neighboring segments of the digital image; comparing the color value distance(s) against a minimum color distance threshold; clustering neighboring segments having a color value distance less than or equal to the minimum color distance threshold; computing a connected structure based on the clustered segments; computing a polygon bounding the connected structure; comparing a fraction of segments included in the connected structure and the polygon, relative to a total number of segments in the digital image, to a minimum included segment threshold; and in response to determining the fraction of segments in the connected structure and the polygon, relative to the total number of segments meets or exceeds a minimum included segment threshold, cropping the digital image based on edges of the polygon.

Abstract: A method of recognizing a median strip and predicting risk of a collision through analysis of an image includes acquiring an image of the road ahead including a median strip and a road bottom surface through a camera of a moving vehicle (S110), generating a Hough space by detecting an edge from the image (S120), recognizing an upper straight line of the median strip from the Hough space (S130), generating a region of interest (ROI) of the median strip using information on the upper straight line of the median strip and a lane (S140), detecting an object from an internal part of the ROI of the median strip through a labeling scheme (S150), and determining a tracking-point set of the objects that satisfy a specific condition (S160).

Abstract: A method, apparatus and computer program product are provided for varying panning speeds of images based on saliency such that 360-degree images, panoramic images, video images and/or other wide view area images may be efficiently displayed by varying the panning speed such that the user focuses on salient portions of the image. A panning speed is determined based on the currently displayed area and its saliency relative to the saliency of non-displayed or peripheral portions. As a user pans from one area to another, while the user pans over a salient portion of the image, the actual reflected panning may occur at a relatively slower speed than when the user pans over an area not including a salient portion, or a less salient portion.

Abstract: The present disclosure relates to a digital asset synchronization system that provides improved digital asset management and synchronization of a digital asset stored either within a component database or a packaged file. For example, the digital asset synchronization system enables a set of components that makes up a digital asset to appear as a singular packaged file, while also maintaining the benefits of having the digital asset made up of the components. In this manner, the digital asset synchronization system provides a bridge between a digital asset stored in a packaged file format and conventional file formats. In addition, the digital asset synchronization system also provides digital asset management and improved synchronization between a client device and a cloud storage system.

Abstract: This disclosure enables various technologies for virtually trying-on items (e.g., a jewelry item, an earring, a garment) in a manner that is more realistic than currently known techniques.

Abstract: Disclosed is a foldable electronic device including a first housing, a second housing, at least one first camera module disposed on the first housing to face a first direction, at least one second camera module disposed on the second housing to face the first direction, a first display disposed on the first housing to face a second direction opposite to the first direction and the second housing to face the second direction, a sensor module configured to sense a folding state of the foldable electronic device, a memory, and a processor configured to identify, in response to a photographing request, the folding state of the foldable electronic device based on sensing data obtained from the sensor module, sense a folding angle change of the foldable electronic device based on the identified folding state, obtain, based on the folding angle change, multiple images from each of the at least one first camera module and the at least one second camera module, and process and provide the obtained multiple images.

Abstract: A predetermined image correction process is automatically performed on an image, and information for identifying that the predetermined image correction process has been performed is displayed in a state that an image having undergone the predetermined image correction process is being displayed.

Abstract: The present disclosure provides at least an apparatus for a depth enhanced image editing. In an example, the apparatus includes memory; instructions; and processor circuitry to execute the instructions to: obtain image information, the image information including edited image data, edited calibration data, and unedited original depth data; and align the original depth data to the edited image data based on the edited calibration data.

Abstract: Digital Breast Tomosynthesis allows for the acquisition of volumetric mammography images. The present invention allows for novel ways of viewing such images to detect microcalcifications and obstructions. In an embodiment a method for displaying volumetric images comprises computing a projection image using a viewing direction, displaying the projection image and then varying the projection image by varying the viewing direction. The viewing direction can be varied based on a periodic continuous mathematical function. A graphics processing unit can be used to compute the projection image and bricking can be used to accelerate the computation of the projection images.

Abstract: A refrigerator is provided. The refrigerator may include a main body having a storage compartment, a first door rotatably installed at a first side of the main body to open and close a first portion of the storage compartment, and a second door rotatably installed at a second side of the main body to open and close a second portion of the storage compartment. A first camera may be installed at the first door to take a picture of an interior of the first storage compartment during rotation of the first door, and a second camera may be installed at the second door to take a picture of the interior of the first storage compartment during rotation of the second door. A controller may combine plural pictures taken by the first camera and the second camera into a single corrected image of a region of the first compartment spanning from the first door to the second door.

Abstract: Systems and methods for predicting a location for acquiring a target view of an anatomical object of interest in an input image are provided. An input image of an anatomical object of interest of a patient is received. An output image is generated using a machine learning based network. The output image depicts a projection of a 3D image plane for acquiring a target view of the anatomical object of interest identified on the input image. The output image is output.

Abstract: An apparatus includes at least one memory configured to store instructions, and at least one processor in communication with the at least one memory and configured to execute the instructions to detect a feature amount from each of a plurality of images different in in-focus position in an optical axis direction, and align the plurality of images by using the feature amount. The at least one processor further executes instructions to detect the feature amount by preferentially using a focusing area of each of the plurality of images.

Abstract: Images captured by multi-camera arrays with overlap regions can be stitched together using image stitching operations. An image stitching operation can be selected for use in stitching images based on a number of factors. An image stitching operation can be selected based on a view window location of a user viewing the images to be stitched together. An image stitching operation can also be selected based on a type, priority, or depth of image features located within an overlap region. Finally, an image stitching operation can be selected based on a likelihood that a particular image stitching operation will produce visible artifacts. Once a stitching operation is selected, the images corresponding to the overlap region can be stitched using the stitching operation, and the stitched image can be stored for subsequent access.

Abstract: An image processing apparatus sets a maximum size of an object that is to be included in a detection result of detection processing to detect the object from an image captured by an imaging unit, and sets a second region based on a position of a first region, designated by a user, in the image and the set maximum size. The second region, larger than the first region, includes the first region, and is subjected to the detection processing.

Abstract: Systems and methods for night vision combining sensor image types. Some implementations may include obtaining a long wave infrared image from a long wave infrared sensor; detecting an object in the long wave infrared image; identifying a region of interest associated with the object; adjusting a control parameter of a near infrared sensor based on data associated with the region of interest; obtaining a near infrared image captured using the adjusted control parameter of the near infrared sensor; and determining a classification of the object based on data of the near infrared image associated with the region of interest.

Abstract: Methods, systems, and media for generating and rendering immersive video content are provided. In some embodiments, the method comprises: receiving information indicating positions of cameras in a plurality of cameras; generating a mesh on which video content is to be projected based on the positions of the cameras in the plurality of cameras, wherein the mesh is comprised of a portion of a faceted cylinder, and wherein the faceted cylinder has a plurality of facets each corresponding to a projection from a camera in the plurality of cameras; receiving video content corresponding to the plurality of cameras; and transmitting the video content and the generated mesh to a user device in response to receiving a request for the video content from the user device.

Abstract: There is provided with an image processing apparatus. A noise reduction unit generates a noise-reduced image in which noise is reduced from an input image in which a plurality of types of pixels that represent mutually different types of color information are arranged in one plane. An extraction unit generates a high-frequency emphasized image in which a high-frequency component of the input image is emphasized. A demosaicing unit generates a demosaiced image having a plurality of planes that each represent one type of color information by demosaicing processing to the noise-reduced image. A generation unit generates an output image by correcting the demosaiced image by using the high-frequency emphasized image.

Abstract: Various implementations disclosed herein include devices, systems, and methods that generates a three-dimensional (3D) model based on a selected subset of the images and depth data corresponding to each of the images of the subset. For example, an example process may include acquiring sensor data during movement of the device in a physical environment including an object, the sensor data including images of a physical environment captured via a camera on the device, selecting a subset of the images based on assessing the images with respect to motion-based defects based on device motion and depth data, and generating a 3D model of the object based on the selected subset of the images and depth data corresponding to each of the images of the selected subset.

Abstract: Conversational image editing and enhancement techniques are described. For example, an indication of a digital image is received from a user. Aesthetic attribute scores for multiple aesthetic attributes of the image are generated. A computing device then conducts a natural language conversation with the user to edit the digital image. The computing device receives inputs from the user to refine the digital image as the natural language conversation progresses. The computing device generates natural language suggestions to edit the digital image based on the aesthetic attribute scores as part of the natural language conversation. The computing device provides feedback to the user that includes edits to the digital image based on the series of inputs. The computing device also includes as feedback natural language outputs indicating options for additional edits to the digital image based on the series of inputs and the previous edits to the digital image.

Abstract: In a method for determining the geographic position and orientation of a vehicle, an image of the vehicle's surroundings is recorded by at least one camera of the vehicle, wherein the recorded image at least partially comprises regions of the vehicle's surroundings on the ground level. Classification information is generated for the individual pixels of the recorded image and indicates an assignment to one of several given object classes, wherein based on this assignment, a semantic segmentation of the image is performed. Ground texture transitions based on the semantic segmentation of the image are detected. The detected ground texture transitions are projected onto the ground level of the vehicle's surroundings. The deviation between the ground texture transitions projected onto the ground level of the vehicle's surroundings and ground texture transitions in a global reference map is minimized. The current position and orientation of the vehicle in space is output based on the minimized deviation.