Abstract: Provided are a method and device for generating metadata including frequency characteristic information of an image. Pixel values of a current block among blocks divided from the image are converted into frequency coefficients in the frequency domain. A band value of a frequency band corresponding to each of regions of the current block is determined using the frequency coefficients included in the regions of the current block, the regions of the current block being divided to correspond to different frequency bands. Metadata including the frequency characteristic information of the current block is generated based on the determined band values.

Abstract: An image processing apparatus comprising: a storage device storing weather data representing a state of an atmospheric air in at least one of a plurality of areas existing within a predetermined range; and a control device computing a color of a cloud about at least one area by using the weather data.

Abstract: The present disclosure relates to a method and an apparatus for detecting pressure. The method includes: acquiring, via a fingerprint recognition sensor, a plurality of successive fingerprint images; recognizing sweat pores in the plurality of successive fingerprint images; determining a feature of the recognized sweat pores in the plurality of successive fingerprint images; and determining a changing trend of pressure applied on the fingerprint recognition sensor over time based on a changing trend of the feature of the recognized sweat pores across the plurality of successive fingerprint images.

Abstract: Techniques are described for analyzing a video for memorability, identifying content features of the video that are likely to be memorable, and scoring specific content features within the video for memorability. The techniques can be optionally applied to selected features in the video, thus improving the memorability of the selected features. The features may be organic features of the originally captured video or add-in features provided using an editing tool. The memorability of video features, text features, or both can be improved by analyzing the effects of applying different styles or edits (e.g., sepia tone, image sharpen, image blur, annotation, addition of object) to the content features or to the video in general. Recommendations can then be provided regarding memorability score caused by application of the image styles to the video features.

Abstract: A system and method for selecting among 3D alignment algorithms in a 3D vision system is provided. The system and method includes a 3D camera assembly to acquire at least a runtime image defined by a 3D point cloud or runtime 3D range image having features of a runtime object and a vision system processor. A training image is provided. It is defined by a 3D point cloud or 3D range image having features of a model. A selection process is operated by the vision processor. It analyzes at least one training region of the training image having the features of the model and determines a distribution of surface normals in the at least one training region. It also selects, based upon a characteristic of the distribution, at least one 3D alignment algorithm from a plurality of available 3D alignment algorithms to align the features of the model with respect to the features of the runtime object.

Abstract: Computerized methods and systems remove background information from digitally encoded images. A digitally encoded image is retrieved and converted to greyscale if it is encoded as a color image. The greyscale image is divided into a first set of subsections. The first set of subsections is processed to individually remove any background portions from each subsection of the first set of subsections. The greyscale image may also be divided into a second set of subsections and the second set of subsections is processed to individually remove any background portions from each subsection of the second set of subsections containing contours. The first set of subsections and second set of subsections may be merged to create a new version of the image, and the new version of the image is stored to digital storage.

Abstract: An image processing device that transforms an image includes a storage unit configured to store coordinate values in a coordinate system of a pre-transformed image, each of the coordinate value corresponding to a grid point in a coordinate system of a transformed image, a selection unit configured to select a grid point in the vicinity of a target pixel in the transformed image, a calculation unit configured to refer to the pre-transformed coordinate value, corresponding to the selected grid point and stored in the storage unit, and to calculate a pre-transformed coordinate value corresponding to the target pixel, using the referred coordinate value, and an output unit configured to output a pixel value of the coordinate value calculated in the pre-transformed image, as a pixel value of the target pixel in the transformed image.

Abstract: Systems and methods for generating vehicle operation logs are provided. According to certain aspects, an electronic device may receive and analyze image data depicting an individual located within a vehicle. The electronic device may also interface with a set of sensors to retrieve or access relevant data related to the operation of the vehicle, such as time and date information, location information, and other data. The electronic device may generate a vehicle operation log that associates the individual depicted in the image data with the vehicle operating parameters.

Abstract: Provided is a method for generating teacher data for image recognition while reducing the number of images used as the basis. A captured image is obtained by imaging an object by an imaging device C arranged at a first designated position Pi. A basic image region Si is extracted from the captured image. The teacher data is generated as a result of coordinate transformation of the basic image region Si from one image coordinate system to a coordinate system of a captured image by the imaging device C on the assumption that the imaging device C is arranged at a second designated position Pj which is different from the first designated position Pi.

Abstract: Methods and systems for automatic detection of landmarks in digital images and annotation of those images are disclosed. A method for detecting and annotating landmarks in digital images includes the steps of automatically assigning a tag descriptive of a landmark to one or more images in a plurality of text-associated digital images to generate a set of landmark-tagged images, learning an appearance model for the landmark from the set of landmark-tagged images, and detecting the landmark in a new digital image using the appearance model. The method can also include a step of annotating the new image with the tag descriptive of the landmark.

Abstract: This invention relates to creating a narrative description of media content. In an embodiment, a computer-implemented method describes content of a group of images. The group of images includes a first image and a second image. A first object in the first image is recognized to determine a first content data. A second object in the second image is recognized to determine a second content data. Finally, a narrative description of the group of images is determined according to a parameterized template and the first and second content data.

Abstract: The present technology relates to an image processing apparatus and method that enable suppression of increase in the load of encoding and decoding floating point-precision image data. The image processing apparatus of the present technology transforms floating point-precision image data composed of a sign, an exponent, and a mantissa into integer-precision image data, and encodes the integer-precision image data obtained by transformation. The present technology can be applied to image processing apparatuses such as encoding apparatuses that encode image data and decoding apparatuses that decode encoded data obtained by encoding image data, for example.

Abstract: Shifting of a focus of a first user within a first 360-view data is tracked during an observation of the first 360-view data by the first user to determine a first set of POIs in the 360-view data where the first user pauses for a duration. A subset of the first set of POIs is regarded as non-obvious POIs in the first 360-view data. For a second user who has not observed the 360-view data, a second set of POIs is computed and includes a second subset of non-obvious POIs. A non-obvious POI from the second subset is matched to a particular non-obvious POI in the first subset. During an observation of the first 360-view data by the second user, a location of focus is computed. Guidance is provided by computing a movement of the focus from the location to a non-obvious POI in the first 360-view data.

Abstract: Devices and techniques are generally described for image editing. In various examples, color image data and segmentation image data may be identified. In some examples, the segmentation image data may identify a first portion of the color image data as a foreground region and a second portion of the color image data as a background region. A segmentation boundary may be identified between the foreground region and the background region. A first area of the second portion may be identified, where the first area extends from the segmentation boundary to a first area outer boundary. A second area of the second portion may be identified, where the second area extends from the first area outer boundary to a second area outer boundary. A blended and blurred representation of the first area and the second area may be generated.

Abstract: Devices, systems and methods are disclosed for determining if an image is displayed using multiple pages of content and loading and displaying the multiple pages in a single context. Bordering pixels may be compared between a first page and a second page to determine if the pixels match above a threshold. If they match above a threshold, the first page and the second page may be aligned, stitched together and displayed in a shared context, allowing a user to pan and zoom between the first page and the second page without interruption, margins, page breaks or the like. The first page and/or the second page may be compared to additional pages of content and each of the additional pages of content is included in the shared context if matching above the threshold.

Abstract: A three dimensional (3D) model of an object or environment may be created from images and other information of the object or environment. The 3D model may be created by aligning the images. The 3D model may include surfaces that are based on surfaces of the object or environment. The 3D model may be displayed, exported, modified and so on.

Abstract: Methods of image calibration and in particular of image calibration having a multiple of color scales as well as to quantitative imaging such as quantitative medical imaging, or to a display device or to a system for displaying an image, or to a controller of a display, or to software to enable the image calibration, or to a visualization application and a display. The method for processing an image, includes the steps of: —selecting at least one trajectory in a color space; —defining a transformation which primarily increases perceptual linearity of consecutive points belonging to the at least one trajectory; —applying the transformation to the image. This has the advantage that the perceptual linearity can be restricted to the trajectory.

Abstract: A method of removing noise from image data output from an image sensor includes comparing a target block in the image data with each of at least one comparison blocks around the target block in the image data. A center pixel similarity between center pixels of the target block and each comparison block is calculated. A neighboring pixel similarity between neighboring pixels neighboring the center pixels in the target block and each comparison block is calculated. The method includes determining whether an impulsive noise exists in the center pixel of the target block based on the center pixel similarity and the neighboring pixel similarity. A weight applied to a value of the center pixel of each comparison block is adjusted based on a result of the determining. Weighted averaging is performed on values of the center pixels of the comparison blocks to estimate a value of the center pixel of the target block.

Abstract: Methods are described for detecting an edge of an object within an image with a fractional differential operator. Methods are also described for calculating 3D information using a strip pattern and the disclosed edge detection method. The fractional differential operator may be a modified Riesz space fractional differential operator. When calculating the fractional derivative of the image, a kernel approximation, in which a scaled Gaussian kernel function or a simplified scaled Gaussian kernel function, is applied to discretize the modified Riesz space fractional differential operator locally. The disclosed method improves the accuracy of edge detection, eliminates the need of applying additional fractional integration for noise suppression, and requires a smaller mask length to achieve desired accuracy.

Abstract: A method includes: normalizing intensities at each pixel in a fingerprint slap scan image such that variations of pixel intensities between fingerprint ridges and valleys are regularized; subsequently dividing the fingerprint slap scan image into blocks of pixels; for each block of pixels, estimating a spatial separation between adjacent fingerprint ridges as well as a ridge orientation for each fingerprint ridge within the particular block of pixels; calculating a distortion map for the various blocks by projecting, according to the estimated ridge orientation for each fingerprint ridge, an adjustment to the estimated spatial separation that is based on a difference between the estimated spatial separation and a target spatial separation; and warping the fingerprint slap scan image to compensate for the calculated distortion map such that the fingerprint ridges in the warped fingerprint slap scan image are scaled to compensate for local variations of adjustments in the calculated distortion map.