Abstract: Methods, systems, and processor-readable media for pruning a training dictionary for use in detecting anomalous events from surveillance video. Training samples can be received, which correspond to normal events. A dictionary can then be constructed, which includes two or more classes of normal events from the training samples. Sparse codes are then generated for selected training samples with respect to the dictionary derived from the two or more classes of normal events. The size of the dictionary can then be reduced by removing redundant dictionary columns from the dictionary via analysis of the sparse codes. The dictionary is then optimized to yield a low reconstruction error and a high-interclass discriminability.

Abstract: A method and apparatus are provided for filtering banding noise in a signal representative of an image. The method includes detecting, by a banding noise detector, banding noise in a neighborhood of a current pixel of the image, determining, by an adaptive filter weight decision unit, a number of banding steps in the neighborhood of the current pixel, determining, by the adaptive filter weight decision unit, a difference between a current pixel value and a previous output value, selecting, by the adaptive filter weight decision unit, a filter weight based on the number of banding steps, the difference between the current pixel value and the previous output value, and the detected banding noise, and filtering, by a recursive filter, the current pixel value according to the selected filter weight.

Abstract: A system includes a structure module, graininess module, mottle module, and standard deviation (STD) module. The structure module is to identify a structure metric based on an input digital image, and remove a structured nonuniformity from the input digital image to produce a second input digital image. The graininess module is to identify a graininess metric based on the second input digital image. The mottle module is to identify a mottle metric based on the second input digital image. The STD module is to identify a STD metric that is to correspond to overall smoothness of the input digital image.

Abstract: The present disclosure concerns a method and system to accurately remove a three-dimensional distortion in an image of a document and convert the image into an accurate two dimensional image. A method for accurately deducing an image of a document to a precise document boundary is also disclosed. A portable computing device may employ the disclosed method and system. The methods involve a marker embedded in a document which provides three-dimensional positional information of a recording device with reference to the marker continuously in real time.

Abstract: In multi-slice imaging of a magnetic resonance imaging apparatus based on a non-Cartesian sampling method in which an overlap portion is generated in k space, stable body movement correction is realized at high speed. In order to do so, the rotation and translation of an object is detected for each specific region (in the case of a hybrid radial method, each blade) using a most characteristic slice in the imaging region, and the detected body movement is used for body movement correction of the specific region in all slices. The slice used for correction may be determined using a mathematical analysis result, such as correlation. In addition, data collection and correction processing may be performed in parallel.

Abstract: Systems, apparatus and methods are provided for objective, quantitative assessment of printer image quality. Quantitative scores are determined for objective analysis and evaluation of the age quality produced by the target printer and determining corrective actions to be performed on the printer.

Abstract: A document authentication method employs Krawtchouk decomposition to analyze and compare document images. When printing an original document, the original document image is segmented into image patches, which preferably correspond to individual symbols of the document. Krawtchouk decomposition is applied to each image patch. The image patches are classified into image patch classes using their Krawtchouk coefficients. The locations of all image patches belonging to each class are obtained and stored along with the Krawtchouk coefficients for each class. When authenticating a target document, the same segmentation, Krawtchouk decomposition and classification steps are applied to the target document image, and the locations of all image patches belonging to each class are obtained. The image patch classes and the locations of image patches belonging to each class for the original and target document image are compared to detect alterations present in the target document.

Abstract: A rapid and efficient method and apparatus for detecting electrophysiologic, proarrhythmic, contractile, and other effects of substances such as compounds and drugs in native cellular cardiac preparations, the preparations representing an integrated cell-based pharmacologic response is disclosed. More specifically, a method to (1) rapidly and efficiently detect and verify the effects of chemicals, compounds and drugs on cardiac repolarization, contractility, and excitability using optically based techniques and customized simulation protocols, and (2) rapidly and efficiently screen and select compounds for electrophysiologic and proarrhythmic effects on cardiac myocytes is disclosed.

Abstract: An image encoder generates a reference frame by modifying a previously encoded frame and encodes a current block of a current frame based on a group including the previously encoded frame and the reference frame, wherein in the encoding of the current block, a reference to a first frame included in the group is considered to be the same as a reference to any other frame included in the group.

Abstract: A method for exemplar-based inpainting using a Laplacian pyramid in a multi-scale space is provided, which is capable of reflecting structural features and texture features simultaneously every time inpainting is performed. The exemplar-based inpainting method using the Laplacian pyramid in the multi-scale space includes constructing a Laplacian pyramid image including a plurality of levels using an input image and performing inpainting reflecting the structural features of a low frequency region and the texture features of a high frequency region using the Laplacian pyramid image.

Abstract: A method and apparatus prioritizing video information during coding and decoding. Video information is received and an element of the video information, such as a visual object, video object layer, video object plane or keyregion, is identified. A priority is assigned to the identified element and the video information is encoded into a bitstream, such as a visual bitstream encoded using the MPEG-4 standard, including an indication of the priority of the element. The priority information can then be used when decoding the bitstream to reconstruct the video information.

Abstract: An image processing apparatus includes an image acquiring unit that acquires an image; an information acquiring unit that acquires image information indicative of a content of the image; and a correcting unit that corrects the image based on the image information such that some of warping of the image is left. The horizontal direction component of the warping may be completely or nearly completely eliminated while a predetermined portion of a vertical direction component of the warping is left, when the image information indicates the content of the image is a person. Alternatively, there is an analyzer which generates the image information indicating that the content of the image is a erson when the analyzing determines that the image contains two or more persons.

Abstract: An image processing apparatus includes the following elements. A document-type determining unit determines what type of document a document is on the basis of read information obtained as a result of reading the document by using a document reader. A compression-format setting unit sets, on the basis of the type of document determined by the document-type determining unit, a compression format used for generating image data from the read information. A generator compresses the read information by using the compression format set by the compression-format setting unit so as to generate image data corresponding to the document.

Abstract: A multi-point image labeling method adopts an image labeling device to label an object pixel matrix containing image data and makes adjacent array elements with image data have an identical image label value. Next, the image labeling device provides a multi-point label window, which designates a non-zero temporary labeled value to store in the register according to the temporary labeled value of the adjacent array elements. Next, the image labeling device provides a label-equivalence window, which generates label-equivalence information according to the adjacent temporary labeled values. Next, an equivalent-substitution processing process is performed on the temporary labeled values according to the label-equivalence information to generate label-equivalence substitution information. Then, the temporary labeled values are replaced according to the label-equivalence substitution information to obtain the resultant image labeled values and complete the image labeling of the object pixel matrix.

Abstract: An image processing and recording system and an image processing and recording method thereof are provided. An image processing and recording system includes a recording module, an access module, and an identification module. The recording module stores an image which includes N image blocks, and the N image blocks compose M image tiles. The identification module performs an image recognition procedure to identify a predetermined feature of the N image blocks picked up by the access module and generates N identification results. Each result includes an address of the tile in the image corresponding to the Kth image block, a corresponding address of the Kth image block in the image tile and whether the Kth image block has the predetermined feature. Thus, the access module can pick up the image blocks having the predetermine feature to perform a next image recognition procedure.

Abstract: An image is obtained. At least one local region is set in the image. Feature patterns are extracted from the local region, and, out of a plurality of bins corresponding to a plurality of patterns which can form the feature patterns, bins that have been determined in accordance with a type of the local region are set as histogram bins used in generating a histogram. A histogram is generated corresponding to the extracted feature patterns using the set histogram bins, and image recognition is performed using the generated histogram.

Abstract: Methods and systems for processing an image to facilitate automated object recognition are disclosed. More particularly, an image is processed based on a perceptual grouping for the image (e.g., derived via segmentation, derived via contour detection, etc.) and a geometric-configuration model for the image (e.g., a bounding box model, a constellation, a k-fan, etc.).

Abstract: Embodiments disclose systems and methods that aid in screening, diagnosis and/or monitoring of medical conditions. The design includes a system and method for accessing retinal images related to a patient, each retinal image including a plurality of pixels. For each of the retinal images, the system designates a first set of the plurality of pixels as active pixels including interesting retinal image regions and computes a first vector of numbers comprising pixel-level descriptors for each of the active pixels. The system computes a second vector of numbers for each of the retinal images and provides a second classification using supervised learning.

Abstract: Embodiments disclose systems and methods that aid in screening, diagnosis and/or monitoring of medical conditions. The systems and methods may allow, for example, for automated identification and localization of lesions and other anatomical structures from medical data obtained from medical imaging devices, computation of image-based biomarkers including quantification of dynamics of lesions, and/or integration with telemedicine services, programs, or software.

Abstract: A CFA pattern is extracted from captured image data for each first unit region. A first altered region is detected from disturbance of the periodicity of the CFA pattern, and the first altered region is an image region in which copying has been performed from image data different from the captured image data to the captured image data. The feature amount of the captured image data is extracted for each second unit region different in size from the first unit region. The feature amounts are compared for each second unit region to detect a second altered region, and the second altered region is an image region in which copying has been performed from the captured image data to the captured image data. Information concerning the first and second altered regions are output as alteration detection results in the captured image data.