Abstract: An image decoding apparatus includes a request unit that requests an image transmission apparatus to transmit an image, a transmission unit that transmits range information indicating a range which is a partial range of the image and which is selected in accordance with a user operation to the image transmission apparatus, a receiving unit that, while the partial range of the image is selected, receives, from the image transmission apparatus, the entirety of the image when the image belongs to a first type and a portion of the image when the image belongs to a second type, by receiving one or more tiles, which corresponds to the partial range of the image and outside which a reference to is prohibited in inter-picture prediction, among a plurality of tiles included in the image, and a decoding unit that decodes the received entirety or portion of the image.

Abstract: A method and apparatus for detecting a complex region of an image are disclosed. In one example, the method may involve calculating complexity values for a current block, a next block, and a previous block. The method may involve: (i) detecting that the previous complexity value is less than a first threshold value, and that the next complexity value is greater than a second threshold value; and (ii) determining that neither a transition to the current block nor a transition to the previous block is a flat-to-complex region transition. The method may involve detecting a flat-to-complex region transition when transitioning to the next block in response to (i) and (ii).

Abstract: A method for determining a level of degradation of a road marking is executed by a determination unit. The method includes generating a plurality of reference images by an image capturing device photographing a reference road marking with a plurality of shutter speeds. The reference images are stored in a database. The method further includes generating an image by the image capturing device photographing an examined road marking according to a selected shutter speed, retrieving one of the reference data from the database that has the same shutter speed as the examined road marking by a processor, and performing a difference determination procedure between the retrieved reference data and the examined data by the processor, and outputting a determined result of the level of degradation of the examined road marking by the processor. As such, accurate determination on the level of degradation of the examined road marking can be achieved.

Abstract: In an embodiment, an encoding method includes generating a histogram corresponding to all pixels in a coding unit. The encoding method further includes seeking a first color value according to the histogram, wherein a first number of pixels of the first color value in the histogram is greater than or equals to a first threshold. The encoding method further includes seeking a second color value in a first range of the first color value according to the histogram. The encoding method further includes removing one or more pixels of the first color value from the histogram when a second number of pixels of the second color value is greater than or equals to a second threshold. The encoding method further includes adding the first color value into an initial color table when the second number of pixels is less than the second threshold. An encoder is also provided in the disclosure.

Abstract: An objective assessment method for a stereoscopic image quality combined with manifold characteristics and binocular characteristics trains a matrix after dimensionality reduction and whitening obtained from natural scene plane images through an orthogonal locality preserving projection algorithm, for obtaining a best mapping matrix. Image blocks, not important for visual perception, are removed. After finishing selecting the image blocks, through the best mapping matrix, manifold characteristic vectors of the image blocks are extracted, and a structural distortion of a distorted image is measured according to a manifold characteristic similarity. Considering influences of an image luminance variation on human eyes, a luminance distortion of the distorted image is calculated according to a mean value of the image blocks.

Abstract: An analytical device is disclosed that analyzes whether a first image is similar to (or the same as) as a second image. The analytical device analyzes the first image by combining at least a part (or all) of the first image with at least a part (or all) of the second image, and by analyzing at least a part (or all) of the combined image. Part or all of the combination may be analyzed with respect to the abstraction of the first image and/or the abstraction of the second image. The abstraction may be based on a Bag of Features (BoF) description, based on a histogram of intensity values, or based on other types of abstraction methodologies. The analysis may involve comparing one or more aspects of the combination (such as the entropy or randomness of the combination) with the one or more aspects of the abstracted first image and/or abstracted second image. Based on the comparison, the analytical device may determine whether the first image is similar to or the same as the second image.

Abstract: The present invention relates to a method of sensing a fingerprint pattern of a finger using a fingerprint sensing device. The method comprising: controlling a group of sensing elements to change a potential of a group of sensing structures comprised in said group of sensing elements; acquiring, in response to said variation in potential, a response signal from a finger detecting circuitry indicative of the capacitive coupling between the group of sensing structures and the finger detecting structure; comparing a variation in the response signal with a predefined threshold value; and providing a signal indicating that a finger is present when the variation in response signal is greater than the threshold value. The invention also relates to a corresponding fingerprint sensing device.

Abstract: The present invention relates to image processing. More particularly, the present invention provides methods for efficient image decolorization and color image enhancement. The methods of the present invention comprise decolorization in frequency domain, adaptive brightness control for an enhanced grayscale image and color image enhancement. The present invention is able to improve sharpness and fine details in both enhanced grayscale and color images.

Abstract: A method for 3-D cephalometric analysis acquires reconstructed volume image data from a computed tomographic scan of a patient's head. The acquired volume image data simultaneously displays from at least a first 2-D view and a second 2-D view. For an anatomical feature of the head, an operator instruction positions a reference mark corresponding to the feature on either the first or the second displayed 2-D view and the reference mark displays on each of the at least first and second displayed 2-D views. In at least the first and second displayed 2-D views, one or more connecting lines display between two or more of the positioned reference marks. One or more cephalometric parameters are derived according to the positioned reference marks, the derived parameters are displayed.

Abstract: An information processing method relating to movement of eye positions includes: identifying, for each of plural users, transition of movement directions of an eye gaze of the user, from movement history of the eye gaze of the user on a display screen; and extracting a minor user among the plural users based on the transition of the movement directions of the eye gaze, which is identified for each of the plural users.

Abstract: A computer-implemented method for compressing a data set, the method comprising receiving a first data block of the data set, selecting automatically by a compression management module a compression module from a plurality of compression modules to apply to the first data block based on projected compression efficacy or resource utilization, and compressing the first data block with the selected compression module to generate a first compressed data block.

Abstract: A gesture recognition method with improved background suppression includes the following steps. First, a plurality of images are sequentially captured. Next, a position of at least one object in each of the images is calculated to respectively obtain a moving vector of the object at different times. Then, an average brightness of the object in each of the images is calculated. Finally, magnitudes of the moving vectors of the object at different times are respectively adjusted according to the average brightness of the object in each of the images. There is further provided a gesture recognition apparatus using the method mentioned above.

Abstract: Provided is a captured image recognition device that enables the performance of an image recognition function to be sufficiently evinced. A field-of-view splitting estimation unit (31) estimates the splitting of the field of view of a camera unit (20) using a captured image (S1). On the basis of the estimated splitting of the field of view, a candidate application selection unit (32) selects, from among a plurality of image recognition applications, candidates for an image recognition application that is favorable or able to execute processing with respect to a current captured image. An image recognition processing unit (40) executes the image recognition application selected by a user from among the candidate applications. As a result, the performance of an image recognition function can be sufficiently evinced as a result of it being possible to execute an image recognition application that is suitable to the current captured image.

Abstract: A method of tracking a target includes classifying a pixel having a pixel address with one or more pixel cases. The pixel is classified based on one or more observed or synthesized values. An example of an observed value for a pixel address includes an observed depth value obtained from a depth camera. Examples of synthesized values for a pixel address include a synthesized depth value calculated by rasterizing a model of the target; one or more body-part indices estimating a body part corresponding to that pixel address; and one or more player indices estimating a target corresponding to that pixel address. One or more force vectors are calculated for the pixel based on the pixel case, and the force vector is mapped to one or more force-receiving locations of the model representing the target to adjust the model representing the target into an adjusted pose.

Abstract: Methods and arrangements for automatic ground truth generation of medical image collections. Aspects include receiving a plurality of imaging studies, wherein each imaging study includes one or more images and a textual report associated with the one or more images. Aspects also include selecting a key image from each of the one or more images from each of the plurality of imaging studies and extracting one or more discriminating image features from a region of interest within the key image. Aspects further include processing the textual report associated with the one or more images to detect one or more concept labels, assigning an initial label from the one or more concept labels to the one or more discriminating image features, and learning an association between each of the one or more discriminating image features and the one or more concept labels.

Abstract: Techniques disclosed herein provide an approach using pixel perturbation to measure image quality. In one embodiment, a pixel perturbation engine perturbs pixels in an image with a reference image for measuring quality of the image after transmission. By perturbing least significant bits, a composite image may be generated in which the reference image is hidden in the original image. The perturbations in the composite image may then be recovered after the composite image is transmitted to a remote device and used to determine image quality based on preservation of the perturbations. In another embodiment, image(s) perturbed with reference image(s) at increasingly higher order bit positions may be transmitted, and quality of the transmitted reference image determined, until the determined quality exceeds a threshold, with the perturbed bit position at which the determined quality exceeds the threshold being indicative of the quality of the image(s) transmitted.

Abstract: A computer-implemented method for compressing a data set, the method comprising receiving a first data block of the data set, selecting automatically by a compression management module a compression module from a plurality of compression modules to apply to the first data block based on projected compression efficacy or resource utilization, and compressing the first data block with the selected compression module to generate a first compressed data block.

Abstract: Methods and apparatus, including computer program products, implementing and using techniques for detecting astronomical objects. An image frame is received, which includes representations of one or more astronomical objects. The received image frame is divided into several swaths. One or more swaths are selected, which include full or partial representations of one or more astronomical objects. Each of the one or more swaths and each astronomical object represented within the one or more swaths can be designated by a base-limit pair. The base-limit pairs for the selected one or more swaths are compared with base-limit pairs for one or more corresponding swaths using a difference algorithm. A list of differences in the base-limit pairs is created.

Abstract: Image processing may include separating a noise component from an original image resulting in a de-noised image and determining a noise parameterization for the noise component. The de-noised image and the noise parameterization may be compressed.

Abstract: A method and system for segmenting text from non-text portions of a digital image using the size, solidity, and run length characteristics of connected components within the image data. For a connected component comprising a rectangular group of pixels enclosing a set of connected pixels having the same binary state, the size characteristic may be based on a ratio of height to width of the connected component and the total number of pixels within the connected component, the solidity characteristic may be based on a ratio of pixels within the connected component to a total number of pixels within a convex hull of the set of connected pixels, and the run length characteristic may be based on a number of transitions within the connected component.