Abstract: Performing realtime image analysis and providing realtime feedback are disclosed. A stream comprising a plurality of arriving RAW images is received. A RAW image included in the stream is sent to a graphics processing unit (GPU). A result of the GPU is used to generate a visualization corresponding to the RAW image. The visualization is co-presented with a realtime view of a scene in a display.

Abstract: An application control device according to an embodiment of the present invention has an acquisition unit that acquires image data of a skin; a division unit that divides the image data into a plurality of segments each smaller than or equal to 200 ?m; and a calculation unit that calculates, from a value of one or a plurality of segments of the image data, an application amount of a cosmetic material to be applied to each portion of the skin.

Abstract: A debanding determination method for an image and a debanding determination circuit thereof are provided. The method includes: calculating change amounts between color components respectively corresponding to a start pixel, an end pixel, and at least one intermediate pixel in a plurality of pixels of the image; adjusting the change amounts according to weight values corresponding to the color components, and calculating a weighted total change amount according to the adjusted change amounts; calculating change counts between the color components of the start pixel, the end pixel, and the at least one intermediate pixel; and determining whether to perform debanding compensation on each of the color components of the start pixel by using the end pixel as a reference pixel.

Abstract: A method and a system for establishing a light source information prediction model are provided. A plurality of training images are captured for a target object. A white object is attached on the target object. True light source information of the training images is obtained according to a color of the white object in each of the training images. A neural network model is trained according to the training images and the true light source information, and a plurality of pieces of predicted light source information is generated according to the neural network model during the training. A learning rate for training the neural network model is adaptively adjusted based on the predicted light source information.

Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices associated with object localization and generation of compressed feature representations are provided. For example, a computing system can access training data including a source feature representation and a target feature representation. An encoded target feature representation can be generated based on the target feature representation and a machine-learned encoding model. A binarized target feature representation can be generated based on the encoded target feature representation and lossless binarization operations. A reconstructed target feature representation can be generated based on the binarized target feature representation and a machine-learned decoding model. A matching score for the source feature representation and the reconstructed target feature representation can be determined. A loss associated with the matching score can be determined.

Abstract: An apparatus for customizing camera parameters is provided. The apparatus includes: an image signal processor; and a processor configured to execute instructions to: generate a first edited image based on a first original image, the first original image including first original image data and first metadata indicating a first pattern of processed RGB colors; identify a first mapping function by analyzing the first pattern with respect to a fixed pattern of unprocessed-RGB color space samples; generate first unprocessed image data based on the first mapping function and the first original image; identify image signal processor adjustment parameters based on the first unprocessed image data and the first edited image; and image signal processor parameters of the image signal processor based on the image signal processor adjustment parameters.

Abstract: In one embodiment, a method includes detecting objects in an image. The method includes accessing a mask for each object. The method includes receiving an input in relation to the image. The input corresponds to an input region and an input type. The method includes identifying a region of the image corresponding to the input region of the input. The identified region of the image includes one or more of the masks. The method includes providing feedback regarding the one or objects in the identified region of the image based on the input type.

Abstract: In one aspect, a method includes receiving first query fingerprint data representing first content channeled through a portion of a content-distribution system. The method also includes detecting a first match between the received first query fingerprint data and first reference fingerprint data representing a modifiable content-segment. The method also includes responsive to detecting the first match, performing a first action. The method also includes receiving second query fingerprint data representing content received by a content-presentation device. The method also includes detecting a second match between the received second query fingerprint data and second reference fingerprint data representing second content transmitted by the content-distribution system, where the second content is a modified version of the first content. The method also includes responsive to detecting the second match, performing a second action that is different from the first action.

Abstract: A photo design smart assistant system for reducing similar photos for display and product design includes a similarity distance computation module that can calculate hash values of images and to calculate similarity distances between the images using at least the hash values, a burst grouping module that can automatically group the images into a burst based at least in part on the similarity distances of the images, wherein at least one image is automatically selected from the burst of images, an intelligent design creation engine that can automatically create a photo product design using the selected image from the burst, and a printing and finishing facility that can automatically make a physical photo product based on the photo product design.

Abstract: Systems and methods provided for presenting supplemental content in an augmented reality environment where an object within a field of view of an augmented reality device of a user is identified and processed to detect a reference related to a participant in an event. A user profile or user social network is searched to identify a message from the user about the participant. The message may be combined with the object in the augmented reality field of view.

Abstract: A method for mapping a low-dynamic range (LDR) video into a high-dynamic range (HDR) video and a device therefor are provided. The method includes a modeling process, and a mapping process. The modeling process includes training according to LDR videos of at least three different exposure levels to obtain a highlight reconstruction model and an exposure generation model, and the mapping process includes mapping an LDR video to be processed into an HDR video through the highlight reconstruction model and the exposure generation model. Accordingly, solutions to the problems of a multi-exposure synthetic image being too dark or too light is provided, and jitter in video synthesis, are provided.

Abstract: A method for parallelized processing of elements of a first vector R using processors 1 through k includes steps of a) loading a first non-loaded element of the first vector R into processor 1; (b) loading the next non-loaded element of the first vector R in processor 1; (c) parallel processing of loaded elements by the processors; (d) transmitting the loaded elements of the first vector R from processors 1 through k?1 to the respectively next processor 2 through k; (e) loading the next non-loaded element of the first vector R in processor 1; and (f) returning to step c if not all elements of the first vector R were loaded and processed.

Abstract: The disclosed techniques include at least one computer-implemented method performed by a system. The system can receive a textual query and process query features of the textual query to identify a color profile indicative of a color intent of the query. The system can identify candidate images that at least partially match the desired content and color intent of the query. The system can further order candidate images based in part on a similarity of a candidate color profile for each candidate image with the identified color profile of the query, and output image data indicative of the ordered set of candidate images.

Abstract: A method for down-up sampling of image sensor data includes the steps of down sampling green pixels in a super Bayer pattern of image sensor data, where a decimation factor of the downsampling corresponds to a size of a color cluster in the super Bayer pattern, where two green pixels that are those closest to a non-green pixel cluster remain in each green cluster after downsampling, and wherein each non-green pixel cluster is bordered by four downsampled green pixels, and up sampling non-green color pixels in a non-green cluster from the remaining green pixels that are closest to the non-green cluster by a bilinear interpolation of each non-green pixel with respect to the closest remaining green pixels, where the up sampling of the non-green color pixels is guided by a compressed array that corresponds to the image sensor data.

Abstract: An image processing apparatus includes a first signal processing circuit that receives image signals from an image sensor and a second signal processing circuit that performs image processing on image signals output from the first signal processing circuit. The first signal processing circuit includes an evaluation circuit that determines evaluation values for image signals, a control circuit that controls an order according to which the image signals are output to the second signal processing circuit, based on the evaluation values, and a selection circuit that selects an image signal for a single frame from among the image signals for a predetermined plural number of frames, based on the evaluation values.

Abstract: To enable a good HDR image or video coding technology, being able to yield high dynamic range images as well as low dynamic range images, we invented a method of encoding a high dynamic range image (M_HDR), comprising the steps of: converting the high dynamic range image to an image of lower luminance dynamic range (LDR_o) by applying a) scaling the high dynamic range image to a predetermined scale of the luma axis such as [0,1], b) applying a sensitivity tone mapping which changes the brightnesses of pixel colors falling within at least a subrange comprising the darker colors in the high dynamic range image, c) applying a gamma function, and d) applying an arbitrary monotonically increasing function mapping the lumas resulting from performing the steps b and c to output lumas of the lower dynamic range image (LDR_o); and outputting in an image signal (S_im) a codification of the pixel colors of the lower luminance dynamic range image (LDR_o), and outputting in the image signal (S_im) values encoding the f

Abstract: An electronic device may include a display panel with pixels that present an image based on image data and an application processor that generates the image data. The electronic device may include a display pipeline coupled to the electronic display and the application processor. The display pipeline may receive first image data from the application processor corresponding to a first color space used by the application processor. The display pipeline may apply a color mapping relationship to the first image data to generate second image data. The color mapping relationship may define a transform to apply to the first image data to generate the second image data corresponding to a second color space used by the electronic display. The display pipeline may transmit the second image data to a display driver that operates the electronic display to emit light according to the second image data.

Abstract: For at least one component of a digitized image, if a magnitude of a difference between a pixel component value and a representative image-cell-value is less than a threshold for each pixel of a subset of pixels of an image cell of a digitized image, the corresponding pixel component values of corresponding pixels of a corresponding processed image cell are set to the representative image-cell-value. Otherwise, at least the most significant portion of the corresponding pixel component values of the corresponding pixels of the corresponding processed image cell are set to the value of pixel component values of the digitized image.

Abstract: A hitch assist system is provided herein. The system includes an imager for capturing images of a rear-vehicle scene containing a trailer and a controller for processing the captured images. A device is disposed at a trailer location and has a display configured to flash a shape at a predetermined frequency and alternating in color. The controller identifies the shape in the captured images to determine the trailer location.

Abstract: An interactive cognitive platform is provided that uses image-based interactivities for diagnosis, treatment, and to analyze the progress (for disease and/or treatment) of cognitive diseases via a graphical user interface. The interactivities engage multiple cognitive domains and involve Gestalt principles—aspects which can be personalized to be more effective for each user. The cognitive platform can be used by healthcare workers to produce diagnostics or treatment plans for specific cognitive conditions and diseases with a cognitive component. The cognitive platform can be used for gaming, stress reduction and skills development and performance enhancement for those without cognitive problems.

Abstract: A transmission method in the present disclosure includes; obtaining an image and image signal characteristics information indicating one of an opto-electrical transfer function (OETF) or an electro-optical transfer function (EOTF) as image signal characteristics of the image; and transmitting a signal including the image and the image signal characteristics information. According to the transmission method in the present disclosure, a receiving device that received a high dynamic range (HDR) image and a standard dynamic range (SDR) image transmitted through broadcasting or the like can display these images appropriately.

Abstract: The present invention provides a display apparatus that improves the uniformity of luminance among a plurality of pixels and improves chromaticity by recalibrating artifacts of a display image recognized by a visual sensation even after calibration is performed, and a method of controlling the same. The display apparatus may include a display panel; a communication circuitry configured to receive an initial calibration coefficient value of a first pixel and at least one second pixel except for the first pixel of the display panel; and a controller configured to compare luminance of the first pixel and the second pixel based on the initial calibration coefficient value, to modify the initial calibration coefficient value based on the comparison result, and to control the display panel based on the modified calibration coefficient value.

Abstract: System and method for encryption currency counter measure and deterrence against counterfeiting. The system tracks the FSN for each FRN, from the time a serial number is assigned to a new bill, until the time the bill is retired from circulation.

Abstract: To appropriately evaluate skin spots by grasping a quality (characteristic) of the skin spots. A skin spot evaluation apparatus includes an area extracting unit that extracts skin spot areas corresponding to skin spots from a skin image obtained by photographing a skin of a subject; and an evaluation unit that analyzes, based on the skin spot areas extracted by the area extracting unit, at least one of the number of the skin spots, dimension of each of the skin spots and density of each of the skin spots, and generates data obtained by quantifying characteristic of the skin spots of the skin image using the analyzed result.

Abstract: An augmented reality system for makeup, includes a makeup objective unit including computation circuitry operably coupled to a graphical user interface configured to generate one or more instances of user selectable makeup objectives and to receive user-selected makeup objective information, a makeup palette unit operably coupled to the makeup objective unit, the makeup palette unit including computation circuitry configured to generate at least one digital makeup palette for a digital makeup product in accordance with the user-selected makeup objective information, and a makeup objective visualization unit including computation circuitry configured to generate one or more instances of a virtual try-on in accordance with the user-selected makeup objective information.

Abstract: Example tracking measures for a first functionality category may be used to generate a modified tracking measure if it is determined that the first functionality category is unsupported by an automated functionality tracking component. The modified tracking measure may be transmitted for categorization in a second functionality category, wherein the second functionality category is different from the first functionality category.

Abstract: Techniques are shown for generating image frames from a media presentation. In one embodiment a computer implemented method is provided. The method includes identifying, by a processing device, image frames from a media presentation comprising a plurality of image frames. Candidate thumbnails are selected from the identified image frames. A probability is determined that a selected candidate thumbnail with a success ranking higher than other selected thumbnails is an optimum candidate thumbnail for representing the media presentation in view of a relationship between the success ranking of the selected candidate thumbnail and the success rankings of the other selected candidate thumbnails. Thereupon, data for displaying the selected candidate thumbnail to a user as a representative of the media presentation is provided by the processing device.

Abstract: An automated content annotation workflow is disclosed. An example embodiment is configured for: registering a plurality of labelers to which annotation tasks are assigned; populating a labeling queue with content data to be annotated; assigning annotation tasks from the labeling queue to the plurality of labelers; enabling the plurality of labelers in an annotation review queue to modify or delete annotations applied by prior labelers; and evaluating a level of performance of the plurality of labelers in applying the annotations.

Abstract: The present invention relates to an end-to-end photography model for setting the light and exposure in a digital photography device with an external lighting system. The present disclosure is for a system and a method for automatically setting one or more image parameters for improved photography and image aesthetics. Specifically, the present invention is for automatically setting light and exposure which can be implemented on a personal electronic device with an integrated image capturing device having integrated and/or external illumination system. The embodiments described herein in general relate to a system and method for analyzing and controlling image parameters to set precise light and exposure for the electronic image capturing device, particularly for a personal electronic device, such as smartphone and tablet, with an integrated image capturing device.

Abstract: Provided is an information processing device connected to a device that executes a process in accordance with a function selected by a user among a plurality of functions, the information processing device includes a setter that sets a first function and a second function from the plurality of functions and a restrictor that restricts the first function, and the restrictor releases the restriction on the first function if the user selects the second function.

Abstract: The present disclosure provides a method, an electronic device, and a medium for image fusion. The method includes calculating a fusion coefficient image M based on a first frame image I1 or based on both the first frame image I1 and a second frame image I2; calculating a first gradient D1 of the first frame image I1 and a second gradient D2 of the second frame image I2; calculating a preliminary fusion result J based on the image M, the first gradient D1 and the second gradient D2; and obtaining an output image I3 based on the image M, the first gradient D1, the second gradient D2 and the preliminary fusion result J, wherein brightness of the first frame image I1 is greater than brightness of the second frame image I2, and wherein the image M is used to mark fusion weights of pixels in the first frame image I1.

Abstract: Disclosed is an image processing method and apparatus. The image processing method includes receiving an image including frames captured over time in a light environment including an alternating current (AC) light, extracting AC pixels corresponding to the AC light from pixels in the image, estimating visual spaces of the AC pixels based on values of the AC pixels in the frames, estimating information of the AC light included in the image based on the visual spaces, and processing the image based on the information of the AC light.

Abstract: A computer-implemented method of calibrating a camera includes: a. making a video screen display a calibration pattern; b. acquiring from the camera a video stream of a scene comprising said calibration pattern; c. determining a modified calibration pattern depending on the acquired video stream, and making the screen display it; said steps a. to c. being iterated a plurality of times; and then d. estimating intrinsic calibration parameters of the camera by processing the acquired video streams. A computer program product, computer-readable data-storage medium and computer system for carrying out such a method.

Abstract: The present disclosure provides a face identification method and a terminal device using the same. The method includes: obtaining a to-be-detected image; performing a brightness enhancement process on the to-be-detected image based on a preset second calculation method to generate a to-be-identified face image; obtaining a first channel value of each channel corresponding to each pixel in the to-be-identified face image; performing another brightness enhancement process on the to-be-identified face image based on each first channel value and a preset first calculation method to obtain a target to-be-identified face image; and performing a face identification process on the target to-be-identified face image to obtain an identification result. Through the above-mentioned scheme, an enhanced face identification manner for the images of low brightness is provided.

Abstract: An image processing apparatus comprises a reading unit configured to read an image of an original; a correction unit configured to correct, based on variance values acquired for a pixel, the pixel in a region where a show-through has occurred, in the image read by the reading unit; a designation unit configured to designate a chromatic color; and a conversion unit configured to convert a pixel included in an image including the pixel corrected by the correction unit into one of a chromatic color and an achromatic color designated by the designation unit.

Abstract: A method of multiple-exposure multiple-frame image capture, comprising, capturing a first group of frames at an underexposed setting, selecting a first key frame from the first group of frames, aligning the first group of frames to the first key frame, merging the first group of frames into one first frame, capturing a second group of frames at the underexposed setting, selecting a second key frame from the second group of frames, aligning the second group of frames to the second key frame, merging the second group of frames into one second frame, selecting a main group of frames based on the first key frame and the second key frame, aligning the first key frame and the second key frame based on the main group of frames and merging the first key frame and the second key frame based on the main group of frames.

Abstract: An information processing apparatus according to one embodiment includes a processing circuit. The processing circuit calculates a first presence probability of an object present around a moving body with positional information measured by each of a plurality of sensors having different characteristics, acquires non-measurement information indicating that the positional information on the object has not been obtained for each of the sensors, and determines a second presence probability of the object based on the first presence probability and the non-measurement information.

Abstract: A process for determining a tooth color of a filling or another restoration is provided which in particular is produced using composite materials, wherein at least one tooth is scanned or is visually detected. The process is characterized in that natural teeth are spectrally measured in advance, that the color values measured within a color space are classified into several, in particular four, categories which each form a color cloud extending in a three-dimensional fashion within the color space, which is done with the help of a structuring algorithm, in particular a Nearest Neighbour Algorithm, or a symmetry recognition algorithm, and that the tooth color of the filling is determined by means of evaluating to which category the tooth scanned has the smallest color distance, or to which color cloud the tooth scanned belongs.

Abstract: A method for scoring attractiveness of a real estate property including receiving an image from a subject real estate property; converting the image to RGB data; and identifying an attractiveness score from the RGB data. A real estate property attractiveness scoring application including an image processor to receive an image from a subject real estate property and convert the image to RGB data; a database of RGB data and an attractiveness score for the RGB data; and an artificial intelligence engine in communication with the image processor and the database to identify an attractiveness score in the database from the RGB data from the image processor.

Abstract: An information processing apparatus which accepts designation of a first image category from among a plurality of image categories including a visible light image, an infrared light image, and a composite image, accepts designation of a second image category different from the first image category from among the plurality of image categories, displays an image of the accepted first image category in a display region of a display unit, and accepts designation of a region in the image of the first image category displayed in the display region, wherein an image of the accepted second image category is displayed in the accepted region.

Abstract: An operating method for a laser projection unit includes providing a data set representing a sequence of images or partial images to be projected and formed from image elements; before the projection, examining the data set with respect to a brightness of the image elements, determining a maximum brightness from the image elements, and determining a relative brightness of the image elements relative to the determined maximum brightness; and projecting the images or partial images of the data stream or part of the data stream by activating laser light sources of an illumination unit according to the relative brightnesses such that the brightness of a laser light source for an image element to be projected having a maximum relative brightness corresponds to a predetermined maximum absolute brightness, or lies in a safety interval below the predetermined maximum absolute brightness.

Abstract: In an approach for optimizing query executions a processor receives a request to transfer data from a first table to a second table. A processor detects a relationship between the first table and the second table, wherein the relationship is based on a similarity between the first table and the second table. A processor identifies at least a first access path for transferring the data from the first table to the second table. A processor calculates a first cost of transferring the data from the first table to the second table using the first access path based on the similarity between the first table and the second table, wherein the first cost indicates estimated processor usage to transfer the data.

Abstract: Systems and methods are provided for feature detection such that users can apply advanced machine learning and artificial intelligence (AI) without the need for a deep understanding of existing algorithms and techniques. Embodiments of the present disclosure provide systems and methods than enable easy access to a suite of machine learning algorithms and techniques, an intuitive interface for training an AI to recognize image features based on geometric “correct and refine” recursion, and real-time visualizations of training effectiveness.

Abstract: This invention provides an image searching method based on feature extraction to determine at least one sample image similar to the image to be searched, including the following steps: a. feature extraction on all sample images to obtain all corresponding feature information, while all sample images are I1, I2, . . . , IS and all said feature information corresponding to all sample images are V1, V2, . . . , VS; b. creating an index tree based on all of said feature information; c. obtaining the feature information corresponding to the image to be searched based on the feature extraction; d. determining said feature information corresponding to at least one sample image having a minimum distance from the image to be searched based on the index tree and the feature information of the image to be searched.

Abstract: The present disclosure includes methods of assessing a histologically stained specimen based on a determined color signature of a region of interest of the specimen. Such assessments may be performed for a variety of purposes including but not limited to assessing the quality of the histological stain, as part of identifying one or more biologically relevant features of the image, as part of differentiating one feature of the image from other features of the image, identifying an anomalous area of the stained specimen, classifying cells of the specimen, etc. Also provided are systems configured for performing the disclosed methods and computer readable medium storing instructions for performing steps of the disclosed methods.

Abstract: A distance measuring element including: at least one first subpattern having a nonrepeating structure of values in a defined first value range; and at least one second subpattern, which, in comparison with the first subpattern, has a non-repeating structure of values in a second value range, the second subpattern having no values in the defined first value range, the at least two subpatterns being superimposed by summing over a defined surface area to form a surface pattern; the minimum distance between the values of the second value range being greater than the maximum value of the first value range.

Abstract: A method of operation of a navigation system includes: determining a content attribute based on an attribute index included in a map content; determine an attribute proportion of the content attribute relative to a content dimension with a control unit; removing the content attribute with the attribute proportion meeting or exceeding a proportion threshold; and generate a remap content based on a remaining instance of the content attribute for displaying on a device.

Abstract: An image processing apparatus includes an acquisition unit configured to acquire a captured image obtained by imaging an imaging target using an imaging device, a generation unit configured to generate a display image to be displayed on a display unit, based on the captured image, a control unit configured to cause the display unit to display the display image, a specification unit configured to specify an evaluation area on the display image based on an instruction from a user, and a calculation unit configured to calculate an evaluation value in the evaluation area on the display image. The generation unit executes a filter process on the captured image and generates the display image.

Abstract: Video processing methods and the associated system architecture for measuring transformation in objects, including pupils, entail the following steps: 1. Motion correction; 2. Object (eye) detection; 3. Image correction; and 4. Fourier-based analysis for item (in some embodiments the item is a pupil) motion estimation.

Abstract: An image processing device includes: a calculation unit which calculates chroma values of pixels of image data taken by a shooting device based on differences between R values or G values and B values, respectively; a correction unit which corrects luminance values of pixels that satisfy a prescribed condition for being a yellow pixel using the calculated chroma values as emphasis amounts, respectively; and a detection unit which detects a line drawn on a road surface based on the corrected luminance values.