Abstract: An information processing device includes an acquiring unit, an image page selecting unit, a reducing unit, and an outputting unit. The acquiring unit acquires a file including a plurality of pages. At least one of a character and an image is carried on each page. The image page selecting unit selects a page containing the image from the plurality of pages. The reducing unit generates a reduced-size page carrying a reduced-size image from the selected page. The outputting unit outputs the reduced-size image.

Abstract: A system and related methods for automatic or semi-automatic segmentation and quantification of blood vessel structure and physiology, including segmentation and quantification of lumen, guide wire, vessel wall, calcified plaques, fibrous caps, macrophages, metallic and bioresorbable stents are described, and including visualization of results. Calcified plaque segmentation can be used to estimate the distribution of superficial calcification and inform strategies stenting. Volumetric segmentation and quantification of fibrous caps can provide more comprehensive information of the mechanisms behind plaque rupture. Quantification of macrophages can aid diagnosis and prediction of unstable plaque and associated acute coronary events. Automated detection and quantification of metallic and bioresorbable stents can greatly reduce the analysis time and facilitate timely decision making for intervention procedures.

Abstract: Systems and methods for removing border objects from a page of digital image are presented. More particularly, in removing border objects from a page of a digital image, the following are performed. In the first place, a digital image having at least one page of content is obtained. A content area of content on the page is determined. Border objects in the region between the page margin and the content area are then located. For each located border object, the following two steps are performed. The located border object is evaluated according to a set of border criteria, and the located border object is removed if the evaluation of the border object indicates that the border object is to be removed. Thereafter, the updated digital image is stored in a content store.

Abstract: The present invention is directed to an apparatus and method for the processing of a mixed color document. The mixed color document is preferably a digital structured document containing metadata, such as e.g. a PDF document. The mixed color document is split into at least a first part to be processed in a first processing channel and into at least a second part to be processed in a second, color-dedicated, processing channel. In executing the splitting judgement, color functionality rather than bare color content is taken into account.

Abstract: An apparatus may include a memory, a processor circuit, and a connected component labeling module. The connected component labeling module may be operative of the processor circuit to determine one or more connected components during reading of an image comprising a multiplicity of pixels from the memory, assign a label to a plurality of pixels of the multiplicity of pixels, generate one or more label connections for a respective one or more labels, each label connection linking a higher label to a lowest label for the same connected component, and write to the memory for each label of the one or more labels a lowest label as defined by the label connection for the each label after a label is assigned to each pixel.

Abstract: For transforming a 2D image into a 3D image, or for transforming a 2D animation into a 3D animation, depths of the 2D image or the 2D animation are required and corrected by enhancing edges. Moreover, a 3D model is generated according to a corrected 2D depth map, and the 3D model is then filmed by virtual cameras to generate the 3D image or the 3D animation. While generating the 3D animation, key frames are selected for reducing processing time, and depths of unselected frames between the key frames are calculated by using interpolation.

Abstract: A method dividing an image into plural superpixels of plural pixels of the image. The method calculates an initial set of weights from a measure of similarity between pairs of pixels, from which a resultant set of weights is calculated for pairs of pixels that are less that a threshold distance apart on the image. The calculation calculates a weight for a pair of pixels as the sum over a set of third pixels of the product of initial weight of the first pixel of the pair of pixel with the third pixel and the weight of the third pixel with the second pixel. Each weight is then subjected to a power coefficient operation. The resultant set of weights and the initial set of weights are then compared to check for convergence. If the weights converge, the converged set of weights is used to divide the image into superpixels.

Abstract: This application describes grouping variables together to minimize cost or time of performing computer vision analysis techniques on images. In one instance, the pixels of an image are represented by a lattice structure of nodes that are connected to each other by edges. The nodes are grouped or merged together based in part on the energy function associated with each edge that connects the nodes together. The energy function of the edge is based in part on the energy functions associated with each node. The energy functions of the node are based on the possible states in which the node may exist. The states of the node are representative of an object, image, or any other feature or classification that may be associated with the pixels in the image.

Abstract: Disclosed is a system (700) for printing a page description comprising a set of instructions, conforming to an interface, to draw at least one object on a page. The system comprises a filter module (705) for simplifying the set of instructions to an output set of instructions that is a subset of the interface, and an output device (711) for printing said output set of instructions. The system also has a set of thresholds (915) and flags (913) controlling the method by which the filter module simplifies said set of instructions, the flags and thresholds being dependent on the capabilities of the output device.

Abstract: Techniques for determining correspondence between image regions are described. A computing system stores images that are comparable to determine corresponding image patches of the images. An approximation algorithm is implemented, and for multiple image patches in a region in a first image, corresponding image patches are determined in a second image. The approximation algorithm performs iterations utilizing a nearby-pixel mapping evaluation and a random-perturbation mapping evaluation to determine and select the corresponding image patches in the second image.

Abstract: A method for low complexity change detection in a sequence of images using configurable block sizes is disclosed. In one embodiment, a first change detection map is generated by performing change detection based on configurable block sizes between a current image and one of an estimated first background image and a previous image. The first change detection map classifies each block as changed or unchanged. The selection between the previous image and the estimated background image for use in change detection is done using a confidence estimate, which is updated both at the low level and at the end of a high-level change analysis. In another embodiment, an estimated second background image is used in addition to the estimate first background image to help quickly adapt when a stationary object starts moving or when a scene object becomes stationary.

Abstract: To obtain increased user operability and user convenience in a terminal, the characteristic amount of a region in an image is calculated, the image is divided into a plurality of partial regions at least one of which has a different size on the basis of the characteristic amount thereby to acquire divided images, a display order of the divided images is decided based on the characteristic amount of each of the divided images and a link region for linking to a predetermined Web page is set in association with the divided image.

Abstract: A method and an apparatus for extracting an object of interest from an image and measuring parameters of the object of interest are provided.

Abstract: A method for identifying tooth regions. The method includes generating a first threshold image from a first tooth image by selecting intensity data values higher than a first predetermined threshold value c1; generating a second threshold image from a second tooth image by selecting intensity data values higher than a second predetermined threshold value c2; generating a preliminary tooth regions image that defines at least a first tooth region from the intersection of the first and second threshold images; generating a reference binary image from the first image by selecting intensity data values higher than a third predetermined threshold value c3, wherein threshold value c3 exceeds c1; and generating a refined tooth regions image from at least the first tooth region in the preliminary tooth regions image. The first tooth region is connected to objects in the reference binary image.

Abstract: A method for processing an electronic document is provided. The electronic document includes a plurality of text fields and a text label associated with each of the plurality of text fields. The method includes step of extracting the plurality of text fields from the electronic document. The method includes step of grouping the plurality of extracted text fields to generate a plurality of groups. The method includes step of labeling the plurality of groups based on a first pre-defined criteria to generate a plurality of labeled groups. The method includes step of distributing the plurality of labeled groups in a plurality of queues based on a second pre-defined criteria. The method includes step of transmitting the plurality of labeled groups from the plurality of queues to one or more crowdworkers based on a third pre-defined criteria.

Abstract: A medical image processing apparatus includes a first extraction part, an adding part, a first specifying part, and a second specifying part. The first extraction part extracts an air region from volume data after receiving volume data representing a region including an organ under observation. The adding part adds pixel values of the pixels in the air region along a predetermined projection direction to generate projection image data representing the distribution of the added value of pixel values. The first specifying part specifies a first characteristic point from the projection image data. The second specifying part specifies, as a second characteristic point, a point on a line passing a first characteristic point in an air region.

Abstract: A method begins by a dispersed storage (DS) processing module generating preliminary dispersed storage network (DSN) storage information for data to be stored in a DSN. The method continues with the DS processing module accessing DSN storage information regarding other data stored in the DSN and comparing the preliminary DSN storage information for the data with the DSN storage information regarding the other data. When at least a portion of the data has compatible preliminary DSN storage information with DSN storage information of at least a portion of the other data, the method continues with the DS processing module generating DSN storage information for remaining portions of the data to produce remaining portions DSN storage information and generating DSN storage information for the data based on the DSN storage information of the at least the portion of the other data and the remaining portions DSN storage information.

Abstract: An image forming apparatus includes an acquiring unit that acquires image data expressing an image region included in an image with a first value and a background region included in the image with a second value; a segmenting unit that segments the image region into multiple segments arranged in a fast scanning direction; a converting unit that converts a value of at least one of the segments into the second value; an output unit that generates an image signal on the basis of the image data and outputs the image signal; an exposure unit that exposes a charged image bearing member to light according to the output image signal by scanning the light thereto in the fast scanning direction so as to form a latent image; and a developing unit that forms the image by developing the latent image using an invisible toner that absorbs infrared light or ultraviolet light.

Abstract: A system and method to identify pictures in documents. An image representing a page of a document is received. The image is analyzed to identify text objects in the page. A masked image is generated by masking out regions of the image including the text objects in the page. Groups of pixels in the masked image are identified, wherein a respective group of pixels corresponds to at least one picture in the page. When there is one or more groups of pixels, regions for pictures are identified based on the one or more groups of pixels. Metadata tags for the pictures are stored, wherein a respective metadata tag for a respective picture includes information about a respective bounding box for the respective picture.

Abstract: An image represented by multiple nodes can be processed by determining whether labels can be propagated to a node from another node of the image. Conceptually, an image can be presented as a “structured grid” of multiple nodes (e.g., a structured grid of pixels of an image). In a “structured grid,” two or more nodes of the same level (e.g., nodes in the same gray level) can determine in parallel whether to propagate a label from one or more of its neighboring nodes that are labeled and propagate one or more labels accordingly. An image can be processed by iteratively repeating this process for nodes of successive levels. It will be appreciated that the disclosed techniques allow parallelism without requiring partitioning of an image or having to merge partitioned images. The disclosed techniques are especially suited for watershed algorithms.

Abstract: Techniques are disclosed for visually conveying an event map. The event map may represent information learned by a surveillance system. A request may be received to view the event map for a specified scene. The event map may be generated, including a background model of the specified scene and at least one cluster providing a statistical distribution of an event in the specified scene. Each statistical distribution may be derived from data streams generated from a sequence of video frames depicting the specified scene captured by a video camera. Each event may be observed to occur at a location in the specified scene corresponding to a location of the respective cluster in the event map. The event map may be configured to allow a user to view and/or modify properties associated with each cluster. For example, the user may label a cluster and set events matching the cluster to always (or never) generate an alert.

Abstract: A printer driver for generating print job data to be transferred to a printer in response to a drawing instruction determines, based on combining condition, whether the received drawing instruction can be combined with another drawing instruction. If the printer driver determines that the received drawing instruction can be combined, the printer driver stores the received drawing instruction as intermediate data. If the printer driver determines that the received drawing instruction cannot be combined, the printer driver combines intermediate data of already stored drawing instructions into a single item of print job data and outputs the print job data to the printer. The combining condition is that the received drawing instruction meets all of three conditions.

Abstract: Various embodiments of the invention provide systems and methods for extracting information from digital documents, including physical documents that have been converted to digital documents. For example, some embodiments are configured to extract information from a field in a digital document by identifying a block of tokens before (i.e., a prior block) and a block of tokens after (i.e., a post block) the field from which the information is to be extracted, where both the prior block and post block are known to be associated with the field type of the field (e.g., name, address, phone number, etc.).

Abstract: Aspects of the present invention relate to systems and methods for locating text in a digital image. According to a first aspect of the present invention, a multi-stage filtering technique may be used to progressively refine a set of candidate text components associated with a digital image. A first, refined set of candidate text components may be formed by filtering an initial set of candidate text components based on component properties. Text lines may reconstructed from the first, refined set of candidate text components. The first, refined set of candidate text components may be further filtered based on text-line properties measured on the reconstructed text lines.

Abstract: Disclosed is an image processing apparatus including: an image compression conversion unit that, in an event of quantizing an image having attribute data for each pixel, creates a density pattern in which pixel values of plural pixels composing a region as a quantization target are binarized, quantizes the region based on the density pattern, and binarizes, for each pixel, the attribute data individually owned by the plural pixels composing the region; and an image extension conversion unit that, in an event of decoding the image of the region quantized based on the density pattern by the image compression conversion unit, decides a density pattern of the region before the quantization in response to an attribute pattern that is based on the binarized attribute data of each of the plural pixels composing the region, and decodes the region in response to the decided density pattern.

Abstract: Each small region positioned just before a large region according to a reading order is determined as a first candidate, and an evaluating process to evaluate whether each first candidate is an index or not is performed based on a difference in feature from the related large region with respect to each first candidate. Each small region positioned just before a first index according to the reading order is determined as a second candidate, and an evaluating process to evaluate whether each second candidate is the index or not is performed based on a difference in feature from the related first index with respect to each second candidate. Small regions determined as the first index and the second index are extracted as index regions.

Abstract: Image data which includes a feature is labeled. The image data is comprised of pixel data in an N×M array. At least one pixel is designated and flagged. Asynchronous processes are executed, where each process corresponds to exactly one pixel. Each process sets a flag only for the owner pixel and only if a connected neighbor pixel in the pre-defined path is flagged. Each process inspects pixel data for all neighbor pixels of the owner pixel to determine if a neighbor pixel is a connected pixel and if the neighbor pixel is flagged, and continues until it sets the flag for the owner pixel or until all connected horizontal and vertical neighbor pixels have been inspected without encountering a connected neighbor pixel whose flag is set. The asynchronous processes are repeated until a pre-defined condition has been satisfied. All flagged pixels are labeled.

Abstract: The invention relates to a method for identifying sheets on which is added one identifier or more comprising a combination of juxtaposed screen cells. The method comprises two parts. The first part describes a means for making the differentiating identifiers and the addresses associated with the content areas forming the sheets. The second part describes a means for processing the information of the digital pen transmitted to the computer processing unit by one or more automatic or semiautomatic post-processing operations. The two non-separable parts of this method thus compensate for the potential handling errors of a user who must write or transcribe information onto screen sheets using a digital pen.

Abstract: A computer-implemented method for assigning attributes to an image. The method comprises allowing a user to mark a plurality of pixels of an image as a single marked area by a single scribble, the single marked area defines, for a current iteration, a target attribute, determining according to the target attribute an optimal function that defines at least one respective attribute of pixels in the image, assigning the at least one respective attribute to pixels in the image according to the optimal function, and displaying the at least one attribute of the pixels.

Abstract: A system, platform, application and method are provided to enable automated video and image background segmentation and replacement, wherein the platform includes a video background segmentation and replacement module including a segmentation and replacement engine and engine processing script(s); a program interface for allowing data provision to the segmentation and replacement module; and a remote device providing remote user access to the server, wherein the remote device runs code to enable automatic placement of a frame(s) foreground with a replaced background on a viewing platform.

Abstract: Compression and decompression of image data, including a first image of an object. The first image may be divided into portions. For each portion, it may be determined whether the portion includes a part of the object. The image data may be compressed based on said determining. If a threshold ratio of portions that do not include a part of the object is reached, portions including a part of the object may be compressed according to a first compression method and portions not including a part of the object may not be compressed, where background information is stored for the portions not including a part of the object. If the threshold ratio of portions that do not include a part of the object is not reached, each portion of the object may be compressed according to the first compression method. The compressed data may be decompressed in a reverse fashion.

Abstract: Technologies are described herein for altering the appearance of a digital image using a shape. A mask edit mode of operation is provided in which an application program displays a mask shape superimposed on a digital image. The application program also provides user interface controls for altering the size, position, and rotation of the digital image independently of the mask shape, and user interface controls for altering the size, position, and rotation of the mask shape independently of the digital image. When a cropping request is received, the portion of the digital image within the mask shape is mapped onto the mask shape, thereby creating a mask-cropped shape, and a normal editing mode is entered. In the normal editing mode a set of user interface controls is provided for modifying the size, position, and rotation of the mask-cropped shape.

Abstract: A print-document conversion apparatus includes a conversion-module activation section that activates, as a process, a conversion module for performing conversion processing for converting print-document data which is described in a page description language and which includes units of processing into print-image data. The conversion module includes a thread activation part, an assigning part, and a shared cache. The thread activation part activates conversion processing threads. The assigning part assigns the units of processing to the conversion processing threads, and causes the conversion processing threads to perform processing on the units of processing. The shared cache is shared by the conversion processing threads. When a conversion result obtained by converting an object included in the units of processing is stored in the shared cache, each of the conversion processing threads obtains the stored conversion result instead of obtaining the conversion result by converting the object.

Abstract: Embodiments disclosed include methods and systems for reusing labels for connected component labeling including assigning one or more labels to one or more groups of raw data representing one or more regions by designating one or more data structures as containing information about the one or more regions; connecting the one or more labels determined to be related; choosing a root label for the connected one or more labels, the root label determined by locating an earliest data element from the one or more groups of raw data; altering a label list of the one or more labels, the label list altered by flagging the root label to include a region label index; and overwriting one or more region label indexes according to the root label.

Abstract: Embodiments disclosed include methods for connected component labeling including labeling groups of raw data as one or more regions, the labeling including designating one or more data structures as containing information about the one or more regions; designating one or more of the regions as one or more subregions to expose a spatial distribution of one or more region features; and arranging at least one memory array with a 1:1 correspondence to a data array associated with the raw data to enable one or more data structures to include feature labels of the one or more subregions, the 1:1 correspondence enabling acquisition of the one or more region features with a controllable precision.

Abstract: An optical reader is provided. A transport section is capable of transporting a medium which is a reading target in forward and backward directions along a transport path. An optical reading section is installed in the transporting path. The optical reading section optically reads the medium which is transported by the transport section. A control section sets a transport direction of the medium at the time of reading of the medium on the basis of a position of the medium before or when the reading of the medium is started and a reading position of the optical reading section such that a transport distance of the medium until the reading of the medium is completed is shortened, and controls the transport section and the optical reading section.

Abstract: In one embodiment, a method of generating annotation tags (28) for a digital image (22) includes maintaining a library (16) of human-meaningful words or phrases organized as category entries (72) according to a number of defined image description categories (70), and receiving context metadata (20) associated with the capture of a given digital image (22). The method further includes selecting particular category entries (72-1, 72-2) as vocabulary metadata (24) for the digital image (22) by mapping the context metadata (20) into the library (16), and generating annotation tags (28) for the digital image (22) by logically combining the vocabulary metadata (24) according to a defined set of deductive logic rules (30) that are predicated on the defined image description categories (70). In another embodiment, a processing apparatus (12), such as a digital processor (18, 26) and supporting memory (14), etc., is configured to carry out the above method, or to carry out variations of the above method.

Abstract: A method and an apparatus for multi-label segmentation of an image are described. In a first step user defined labels are determined for one or more pixels of the image. Then a fraction of the pixels of the image for which no user defined label is determined is pre-initialized. Finally, a cellular automaton-based segmentation of the image is performed using the user defined labels and the pre-initialized pixels.

Abstract: The invention relates to a method and device for the detection of changes in illumination for vision systems between a digital image of an area and a digital image of a background model of said region of study of the same size, wherein, based on such images, at least one blob of a region which reflects the differences between the background model and the current or detection image of the area is selected by segmentation techniques, the spatial correlation between the pixels of the blob in the detection image and in the background model image being found. According to the correlation with respect to a threshold value thereof, this change is associated with a change in illumination. An implementation suitable for video surveillance systems is provided together with the previous device.

Abstract: A disclosed method for extracting a raster image of a page from a portable electronic document that includes (a) acquiring commands and resources of the raster image of the page by analyzing a format of the portable electronic document, (b) extracting first and second candidate raster images by processing the commands and the resources of the raster image of the page, (c) integrating the first and second candidate raster images as an integrated candidate raster image provided that the first and second candidate raster images are linked together, and (d) removing a pseudo-raster image from the integrated candidate raster image.

Abstract: Systems and methods for removing artifacts from a page of digital image are presented. More particularly, a digital image is obtained, the digital image having at least one page of content to be processed. A content bounding box is determined for the content of the page. Additionally, a set of segments is generating, the set corresponding to particular areas of the content within the content bounding box, each area associated with a type of content. For each segment of the set of segments, the following are performed. Despeckling criteria are selected for identifying artifacts according to the type associated with the segment. Artifacts are identified in the segment according to the despeckling criteria. The identified artifacts are then removed from the page. Thereafter, the updated digital image is stored in a content store.

Abstract: A method for privacy-retaining face identification comprising dividing at least one input face into a first set of patches, providing an assortment of patch profiles for each patch in the first set of patches, each patch profile in the assortment being associated with a unique index thereby to define an assortment of unique indices, for each individual patch in the input face, finding at least one patch profile within the assortment of patch profiles which most resembles the individual patch, thereby to define a first set of indices from among the assortment of unique indices whose corresponding patch profiles most resemble the input face's patches respectively, and using a privacy preserving computation to generate a physical output indicative of a comparison of the input face and at least one target face by comparing first and second functions of the first set of indices and of a second set of indices respectively, the second set of indices corresponding to patch profiles which most resemble a second set of

Abstract: Similar faces may be determined within images based on human perception of facial similarity. The user may provide an image including a query face to which the user wishes to find faces that are similar. Similar faces may be determined based on similarity information. Similarity information may be generated from information related to a human perception of facial similarity. Images that include faces determined to be similar, based on the similarity information, may be provided to the user as search result images. The user then may provide feedback to indicate the user's perception of similarity between the query face and the search result images.

Abstract: A computer-implemented method, program, and system for calculating similarity between nodes in a graph by computer processing. The method includes: calculating a new label value of a node on the basis of a label value of a node adjacent to the node with respect to each of the nodes in one or more graphs; correcting the new label value of the adjacent node to remove an influence of the label value of a target node with respect to each of the target nodes for the calculation of the similarity between the nodes; and calculating the similarity between the target nodes by using the corrected new label value of the node adjacent to one target node and the corrected new label value of the node adjacent to another target node.

Abstract: Embodiments disclosed include methods and systems for assigning one or more labels to one or more segments of data received in an incoming segment to a line buffer for propagated component labeling, including preventing repeated labels in each line of the line buffer by assigning a different label for each of the one or more segments of data received in each line; labeling the incoming segment of the one or more segments of data by adopting a label of an overlapping segment on a prior received line when the overlapping segment does not overlap any other segment of data; labeling the incoming segment of the one or more segments of data by adopting a label of an overlapping segment on a prior received line when the overlapping segment overlaps more than one segment on the incoming segment when the segment is a first segment in the line buffer; and labeling the incoming segment of the one or more segments of data by adopting a label of a last overlapping segment when more than one segment overlaps the incoming s

Abstract: The method includes segmenting a document image to identify image objects within the document image and applying an automatic algorithm to the image objects so as to assign initial metadata to the image objects. The method further includes selecting image objects from the set of image objects whose metadata satisfy filtration criteria so as to exclude those selected image objects from processing and processing a rest of the image objects in the set of image objects. The method further includes presenting the document image, image objects, and metadata to the user and enabling input from the user to manage the image objects, subsets, and metadata.

Abstract: A method and an apparatus for multi-label segmentation of an image are described. First an energy function is determined for the image. Then for a homogeneous region of the image variables of the energy function are grouped to a single variable. Subsequently the energy function is minimized and labels are assigned to regions of the image based on the minimized energy function.

Abstract: In a telemanipulation system for manipulating objects located in a workspace at a remote worksite by an operator from an operator's station, such as in a remote surgical system, the remote worksite having a manipulator with an end effector for manipulating an object at the workspace, such as a body cavity, a controller including a hand control at the control operator's station for remote control of the manipulator, an image capture device, such as a camera, and image output device for reproducing a viewable real-time image, the improvement wherein a position sensor associated with the image capture device senses position relative to the end effector and a processor transforms the viewable real-time image into a perspective image with correlated manipulation of the end effector by the hand controller such that the operator can manipulate the end effector and the manipulator as if viewing the workspace in true presence.

Abstract: The invention relates to methods for determining a logical structure of a document. The system stores a collection of models, each of which describes one or more possible logical structures. At least one document hypothesis is generated for the whole document. For each document hypothesis, the system verifies the document hypothesis on each page, for example, by generating at least one block hypothesis for each block in the document based on the document hypothesis, selecting a best block hypothesis for each block, selecting the model that corresponds to a best document hypothesis the document hypothesis that has a best degree of correspondence with the selected best block hypotheses for the document, and forming a representation of the document based on the best document hypothesis described.

Abstract: The present invention enables mixture of a core line vectorization process and a outline vectorization process, and comprises: inputting an object image of a vectorization process; extracting a core line of the object image; computing an original line width for every pixel of the core line acquired by the extracting; judging whether every section is indicative of an equal-width line or indicative of a surface figure by using the line width value for every pixel of the core line acquired by the estimating, the every unit delimiting the core line acquired by the extracting between two points of intersections and endpoints; separating a surface figure from the object image on the basis of a judging result of the judging; and approximating functionally the core line judged to be the equal-width line at the judging and a outline of the surface figure separated at the separating, respectively.