Abstract: The present disclosure is directed to systems, methods, and devices that enable the revising of Optical Character Recognition (OCR) data by indexing and displaying potential error locations within the OCR data. The primary method for revising the OCR data includes a terminal device indexing, displaying, receiving editing operations for, and editing the OCR data. The terminal device is configured to revise OCR data and includes an OCR review element, which, in some embodiments, is a software stored on a non-transitory, computer-readable medium, that is executed by a processing unit to cause the terminal device to index, display, receive editing operations for, and edit the OCR data.

Abstract: Methods and systems for detecting keypoints in image data may include an image sensor interface receiving pixel data from an image sensor. A front-end pixel data processing circuit may receive pixel data and convert the pixel data to a different color space format. A back-end pixel data processing circuit may perform one or more operations on the pixel data. An output circuit may receive pixel data and output the pixel data to a system memory. A keypoint detection circuit may receive pixel data from the image sensor interface in the image sensor pixel data format or receive pixel data after processing by the front-end or the back-end pixel data processing circuits. The keypoint detection circuit may perform a keypoint detection operation on the pixel data to detect one or more keypoints in the image frame and output to the system memory a description of the one or more keypoints.

Abstract: A transmission-type head mounted display includes a detection unit that detects a first target from outside scenery, an image display unit which is capable of transmitting the outside scenery and is capable of displaying an image, and a display image setting unit that causes the image display unit to display a first moving image which is a moving image associated with the detected first target.

Abstract: Systems, methods, and devices for estimating a speed limit are disclosed herein. A system for estimating a speed limit includes one or more perception sensors, an attribute component, an estimator component, and a notification component. The one or more perception sensors are configured to generate perception data about a region near a vehicle. The attribute component is configured to detect one or more environmental attributes based on the perception data. The estimator component is configured to determine an estimated speed limit based on the environmental attributes. The notification component is configured to provide the estimated speed limit to an automated driving system or driver assistance system of the vehicle.

Abstract: A healing component that heals foreground pixels with background pixels is provided. In some embodiments, the healing component is programmed or otherwise configured to respond to a single healing request by identifying a plurality of regions within a selected area and healing each region of the plurality of regions independently of other regions.

Abstract: A method of processing image data of an electronic device is provided. The method includes dividing the image data into at least one segment corresponding to a feature of at least part of the image data, determining a category corresponding to the at least one segment, and displaying the at least one segment in a converted form based on the category.

Abstract: A system for distinguishing a first group of persons from a second group of persons among plural persons who are present inside an area, and the system includes processing circuitry that: detects first positions of the plural persons who are present inside the area based on a heat image; detects second positions of the second group of persons who are present inside the area based on identification signals transmitted from portable wireless terminals of the second group of persons; and determines, as the first group of persons, those who are present at positions different from the second positions based on the first and second positions.

Abstract: The present invention generally relates to a method for predicting a block of pixels from at least one patch comprising a block of pixels and a causal neighborhood around this block of pixels. The method comprises the following steps: determining a mapping of a causal neighborhood, around that block of pixels to be predicted, on the block of pixels to be predicted in order that the block of pixels of each patch is best predicted by mapping the neighborhood of that patch on the block of pixels of that patch, and predicting the block of pixels from a prediction block computed by applying the determined mapping on the neighborhood of the block of pixels to predict.

Abstract: A control device includes a flatness calculator and control-value logic. The flatness calculator calculates flatness of an image corresponding to an image signal. The control-value logic determines a control value based on the flatness. The control value controls a size of an operation region on which a first-order infinite impulse response (IIR) filter is to process the image signal to reduce noise.

Abstract: A method and a device for encoding/decoding images are disclosed. The method for encoding images comprises the steps of: deriving a scan type of a residual signal for a current block according to whether or not the current block is a transform skip block; and applying the scan type to the residual signal for the current block, wherein the transform skip block is a block to which transform for the current block is not applied and is specified on the basis of information indicating whether or not transform for the current block is to be applied.

Abstract: A method, apparatus and computer program product are provided to facilitate the review of at least portions of a panoramic image and to increase the likelihood that a viewer consumes at least those portions of the panoramic image that are considered to be both interesting and of aesthetic value. In the context of a method, one or more regions within a panoramic image are identified based upon a saliency of the one or more regions. The method also includes identifying candidate subimages that at least partially overlap with at least one of the regions identified within the panoramic image. The method further includes scoring the candidate subimages based upon predefined criteria and causing information for one or more of the candidate subimages to be provided based upon scores associated therewith.

Abstract: Techniques for image recompression. In one implementation, the techniques are implemented to recompress a baseline joint photographic experts group (JPEG) image with compression savings. The techniques replace the Huffman coding of baseline JPEG with an arithmetic coding that uses a sophisticated adaptive probability model. The arithmetic coding techniques avoid global operations such as global sorting that would prevent distributed and multithreaded decompression operations when recovering the original JPEG image from the recompressed image. At the same time, the techniques realize substantial compression savings relative to baseline JPEG, on average 23% compressing savings in some implementations.

Abstract: An image processing device including: a color correction section that is input with an RGB signal, and performs color correction on the RGB signal; a YC conversion section that converts the color corrected RGB signal to a first brightness signal and a color difference signal; a Y conversion section that is input with the RGB signal, and generates a second brightness signal from the RGB signal; a processor configured to execute a process, the process including computing a ratio at which to combine the first brightness signal and the second brightness signal based on the RGB signal; and a combining section that combines the first brightness signal and the second brightness signal at the computed ratio.

Abstract: A configured machine performs image matching and retrieval of natural images that may depict logos. The machine generates and uses color-localized spatial masks, which may be computationally less expensive than spatial verification techniques. Key points are detected within images that form a reference database of images. Local masks are defined by the machine around each key point based on the scale and orientation of the key point. To utilize color information presented in logo images, ordered color histograms may be extracted by the machine from locally masked regions of each image. A cascaded index may then be constructed for both visual descriptors and color histograms. For faster matching, the cascaded index maps the visual descriptors and color histograms to a list of relevant or similar images. This list may then be ranked to generate relevant matches for an input query image.

Abstract: An image generating device that generates a composite image based on partial images cut out from captured images having photographic subject regions partially overlapping with each other, includes: a correction device that corrects each target partial image by setting one of first and second adjacent partial images as a reference partial image; a generation device that generates first and second conversion tables for approximating a concentration characteristic of each target partial image in overlapping first and second common regions to the first and second adjacent partial images, respectively; and a mixture conversion device that converts a concentration of each target partial image to make an influence of the first conversion table larger as a position of a pixel is closer to the first adjacent partial image, and to make the influence of the second conversion table larger as the position of the pixel is closer to the second adjacent partial image.

Abstract: Example systems and methods are disclosed for determining the direction of an actor based on image data and sensors in an environment. The method may include receiving point cloud data for an actor at a location within the environment. The method may also include receiving image data of the location. The received image data corresponds to the point cloud data received from the same location. The method may also include identifying a part of the received image data that is representative of the face of the actor. The method may further include determining a direction of the face of the actor based on the identified part of the received image data. The method may further include determining a direction of the actor based on the direction of the face of the actor. The method may also include providing information indicating the determined direction of the actor.

Abstract: Methods and apparatus to extract text from imaged documents are disclosed. Example methods include segmenting an image of a document into localized sub-images corresponding to individual characters in the document. The example methods further include grouping respective ones of the sub-images into a cluster based on a visual correlation of the respective ones of the sub-images to a reference sub-image. The visual correlation between the reference sub-image and the respective ones of the sub-images grouped into the cluster exceeding a correlation threshold. The example methods also include identifying a designated character for the cluster based on the sub-images grouped into the cluster. The example methods further include associating the designated character with locations in the image of the document associated with the respective ones of the sub-images grouped into the cluster.

Abstract: A device, system, and method performs a camera driven background subtraction. The method being performed at an electronic device includes receiving information corresponding to an image-capturing device that is capturing an image. The method includes automatically selecting one of a plurality of image analysis mechanisms based upon the information. The method includes receiving the captured image captured by the image-capturing device. The method includes performing an image analysis using the selected image analysis mechanism on the captured image to determine a foreground and a background in the captured image.

Abstract: Examples are directed to selective editing of digital images using editing tools having persistent tool settings. A source image is opened as a target image in an image editing application. Once opened in the image editing application, the target image includes a plurality of image layers. Visual elements of the target image file are then edited using tools in the image editing application. For each tool used, a tool identifier and the relevant tool settings are saved and associated with the corresponding layer in a target image file. Upon closing and later re-opening the target image file, the saved tool identifier and tool settings are presented for display for further image editing in subsequent user sessions.

Abstract: A system for managing color consistency in a display including a plurality of panels configured to display a source image includes: a processor; and a memory, and the memory stores instructions that, when executed by the processor, cause the processor to: select a first panel among the plurality of panels as a master panel; capture a first image of the first panel and a second image of a second panel among the plurality of panels; identify a first comparative area within the first image and a second comparative area within the second image; compare the first and second comparative areas to perform a comparison; adjust data of the source image based on the comparison, and the data is adjusted by remapping colors of the source image; and transmit the adjusted data to the second panel.