Abstract: A system, method and a computer program product for handling text distracters in a visual search have been disclosed. The system considers an image captured on a handheld device, as a query image and subsequently identifies the textual portions of the query image. The textual portions of the query image are smoothened in order to reduce the keypoints present in the textual portions. Non-textual portions in proximity to the textual portions are also selectively smoothened in order to prevent formation of an artificial border between the textual portions and non-textual portions. Further, the features are extracted from the non-textual portions of the query image are compared with the features of the images stored in a repository. An image whose features match with the extracted features is identified as an image relevant to the query image, and the identified image is transmitted, along with the associated metadata to the handheld device for display.

Abstract: Described embodiments include a system and method. A digital imaging device is configured to capture images of a region of a contact between a wheel of a terrestrial vehicle and a surface (“contact region”). A correlator is configured to correlate a first digital image of the contact region captured at a first time with a second digital image of the contact region captured at a second time. A kinematics circuit determines an incremental slide or slip of the wheel relative to the surface. A fraction status circuit combines at least two instances of the incremental slide or slip into data indicative of a slide or slip by the terrestrial vehicle relative to the surface. A communications circuit outputs an electronic signal indicative of the data indicative of a slide or slip by the terrestrial vehicle.

Abstract: Systems and methods for image organization are provided. An computing device in accordance with embodiments of the present disclosure includes a processor configured to receive an image set comprising a plurality of images, compare a portion of each image in the image set with a verified cue library including a plurality of visual cues that correspond to different geographic place tags, and display a recommendation panel including a recommended place tag corresponding to a visual cue that matches the portion.

Abstract: An apparatus for recognizing iris in an eye is provided. An image collecting unit collects an image of the eye. A control unit detects whether a user wears a contact lens, based on an edge component on the image of the eye.

Abstract: A system and method are described for compressing image data using a combination of compression methods. Compression method combinations are provided to compress image data of a particular frame buffer format and antialiasing mode. Each method in the compression method combination is tried in turn to compress the image data in a tile. The best method that succeeded in compressing the image data is encoded in the compression bit state associated with the tile. Together, the compression bits, the compression method combination, and the frame buffer format provide sufficient information to decompress a tile.

Abstract: A data processing method for determining atlas data and comprises information on a description of an atlas image of a general anatomical structure. The method performed by a computer comprises: acquiring patient data which comprise a description of a set of images of an anatomical structure of a set of patient images and each patient image is associated with image representation parameters; acquiring model data which comprise information on a description of a model image of a model of an anatomical structure of a patient; determining matching transformations which are constituted to respectively match the set of patient images of the set of patients to the model image by matching images associated with the same parameter set; determining an inverse average transformation by applying an inverting and averaging operation to the determined matching transformations; and determining the atlas data.

Abstract: An image guidance system for tracking a surgical instrument during a surgical procedure. The image guidance system includes a plurality of cameras adapted to be located external to a surgical area for capturing images of optically visible patterns. A processing system receives and processes the images to recognize the patterns and triangulate the locations and orientations of each pattern relative to a camera. The processing system uses a reference dataset which defines a reference coordinate system based on alignment to a portion of the oral anatomy. The processing system determines the location and orientation of the tracked instrument based on the reference dataset.

Abstract: Provided is an image processing apparatus including: a characteristic amount calculator for calculating a first characteristic amount for each pixel constituting a stained sample image; a component ratio calculator for calculating a component ratio of constituent elements in a target pixel, based on the calculation results; a reference value storage portion for storing a reference value of a second characteristic amount of each of the constituent elements; a constituent element correction coefficient calculator for calculating a constituent element correction coefficient, based on the reference value and the second characteristic amount of each of the constituent elements; a target pixel correction coefficient calculator for calculating a target pixel correction coefficient, based on the component ratio and the constituent element correction coefficient thus calculated; and a characteristic amount corrector for correcting the second characteristic amount, based on the calculation results.

Abstract: A system is disclosed for quantitative analysis of perfusion images comprising image elements having intensity values associated therewith. The system comprises a frequency distribution computing subsystem (1) for computing a plurality of frequency distributions of the intensity values of at least part of the images. The system comprises a perfusion information extractor (2) for extracting information relating to perfusion from the plurality of frequency distributions. The perfusion information extractor (2) comprises a shift detector (3) for detecting a shift of the intensity values of the frequency distribution. The perfusion information extractor (2) is arranged for extracting the information relating to perfusion, based on the detected shift. A user interface element (8) enables a user to indicate a boundary between the core region and the rim region by a single degree of freedom. A vesselness subsystem (9) associates a vesselness value with an image element.

Abstract: A method and an apparatus are provided for displaying pictures according to hand motion inputs. An application is executed for displaying a picture from among a sequence of pictures on a display. Groups of skin color blocks corresponding to a hand are detected from among image frames output from a camera. A motion is detected among the groups of skin color blocks. Direction information is obtained on the detected motion. The application is controlled to display a previous picture or a next picture in the sequence of pictures on the display according to the direction information.

Abstract: Systems and methods prevent or restrict the mining of content on a mobile device. For example, a method may include determining that content to be displayed on a screen includes content that matches a mining-restriction trigger, inserting a mining-restriction mark in the content that protects at least a portion of the content, and displaying the content with the mining-restriction mark on the screen. As another example, a method may include identifying, by a first application running on a mobile device, a mining-restriction mark in frame buffer data, the mining-restriction mark having been inserted by a second application, and determining whether the mining-restriction mark prevents mining of content. The method may also include preventing mining when the mining-restriction mark prevents mining and, when the mining-restriction mark does not prevent mining, determining a restriction for the data based on the mining-restriction mark and providing the restriction with the data for further processing.

Abstract: A method and system for video-based road departure warning for a vehicle on a road, is provided. Road departure warning involves receiving an image of a road in front of the vehicle from a video imager, and detecting one or more road markings in the image corresponding to markings on the road. Then, analyzing the characteristics of an image region beyond the detected markings to determine a rating for drivability of the road corresponding to said image region, and detecting the lateral offset of the vehicle relative to the markings on the road based on the detected road markings. A warning signal is generated as function of said lateral offset and said rating.

Abstract: Disclosed herein are methods and systems for object recognition and link integration in a composite video stream. One embodiment takes the form of a process that includes detecting an object of interest in a set of video frames. The process also includes tracking the movements of the detected object of interest across a subset of the video frames in the set of video frames. The process further includes generating a composite video stream from the video frames in the subset. The composite video stream shows the tracked movements of the detected object of interest without showing background data from the video frames in the subset. The process also includes outputting the generated composite video stream.

Abstract: Disclosed are a magnetic resonance (MR) image generating method and apparatus that perform imaging on an MR image by using a radio frequency (RF) multi-coil which includes a plurality of channel coils. The MR image generating method includes generating a plurality of pieces of K-space completion data which respectively correspond to the plurality of channel coils and converting the plurality of pieces of K-space completion data to a frequency domain in order to generate a plurality of pieces of image data, combining the plurality of pieces of image data in order to acquire an MR image, and acquiring phase information which relates to the MR image based on the plurality of pieces of image data and the plurality of pieces of K-space completion data.

Abstract: A place estimation apparatus performs a place estimation process by using position-invariant feature values extracted by a feature value extraction unit. The feature value extraction unit includes local feature value extraction unit that extracts local feature values from each of input images formed from successively-shot successive images, feature value matching unit that obtains matching between successive input images based on the extracted local feature values, corresponding feature value selection unit that selects matched feature values as corresponding feature values, and position-invariant feature value extraction unit that obtains position-invariant feature values based on the corresponding feature values. The position-invariant feature value extraction unit extracts, from among the corresponding feature values, corresponding feature values whose position change is equal to or less than a predetermined threshold as the position-invariant feature values.

Abstract: Image restoration cascades are described, for example, where digital photographs containing noise are restored using a cascade formed from a plurality of layers of trained machine learning predictors connected in series. For example, noise may be from sensor noise, motion blur, dust, optical low pass filtering, chromatic aberration, compression and quantization artifacts, down sampling or other sources. For example, given a noisy image, each trained machine learning predictor produces an output image which is a restored version of the noisy input image; each trained machine learning predictor in a given internal layer of the cascade also takes input from the previous layer in the cascade. In various examples, a loss function expressing dissimilarity between input and output images of each trained machine learning predictor is directly minimized during training. In various examples, data partitioning is used to partition a training data set to facilitate generalization.

Abstract: Automated person re-identification may be assisted by consideration of attributes of the person in a joint classification with matching of the person. By both solving for similarities in a plurality of attributes and identities, discriminative interactions may be captured. Automated person re-identification may be assisted by consideration of a semantic color name. Rather than a color histogram, probability distributions are mapped to color terms of the semantic color name. Using other descriptors as well, similarity measures for the various descriptors are weighted and combined into a score. Either or both considerations may be used.

Abstract: Methods and systems for diagnosing a bone disease or other condition related to collagen in a subject are provided. These include providing a bone sample from the subject and determining a quantitative collagen morphology value of the bone sample. A reference value is provided from a non-affected control subject where the reference value is a quantitative collagen morphology value from the same type of bone sample obtained from a population of non-affected control subjects. The quantitative collagen morphology value of the subject's bone sample is compared to the reference value. If the collagen morphology value is altered versus the reference value, the subject is diagnosed as having a collagen related bone disease. The collagen morphology value can include mean fibril spacings and distributions of the fibril spacings taken from a subject's bone sample.

Abstract: Provided are an information processing system, an information processing method and a program capable of suitably predicting, when tracking a person with a plurality of video cameras, an image of a video camera, in which a moving body that is appearing in a video camera will subsequently appear. The information processing system of the present invention includes an interior view angle person position acquisition unit 110 for identifying a traveling direction of a moving body appearing in an image of a first video camera among a plurality of video cameras, and an appearance probability calculation/sorting unit 150 for predicting, based on the traveling direction of the moving body in the image of the first video camera, one or more second video cameras in which a possibility of the moving body that is appearing in the image of the first video camera subsequently appearing is higher than other video cameras among the plurality of video cameras.

Abstract: An apparatus and a method for hierarchical stereo matching are provided. In the method, a reduced image is formed by reducing left and right images, and a first Trellis is performed on the reduced image. Then, a magnified image is generated by magnifying the size and the brightness of the reduced image, and a second Trellis is performed on the magnified image.