Abstract: A method receives data from entities indicative of whether or not an anomalous event is occurring at the entities over a first time period. The method characterizes the system, based on the data and a system characterization model, as one of: a system in which only the first entity is experiencing an anomalous event at any one time; a system in which two or more of the plurality of entities are experiencing anomalous events occurring at any one time; and a system for which during at least one second time period within the first time period data is missing for one or more of the plurality of entities. The method uses one or more anomaly detection models to compare the data received from the first entity to the data received from other entities in the plurality of entities, and determine that a local anomalous event has occurred at an entity.

Abstract: A computer implemented method for reducing interference experienced at a first frequency due to transmissions made at one or more of a plurality of candidate frequencies. The method includes i) dividing the candidate frequencies into a first subset of candidate frequencies and a second subset of candidate frequencies; ii) blanking the first subset of candidate frequencies; and iii) determining whether the interference experienced at the first frequency is due to transmissions made on the first subset of candidate frequencies, dependent on whether said interference is reduced as a result of blanking the first subset of candidate frequencies.

Abstract: Distributed denial of service (DDoS) attacks launched using internet of things (IoT) devices may be detected and addressed using decentralized computing, potentially in combination with blockchain or other decentralized ledger technology. One method of doing this may include identifying an anomaly by comparing traffic data against baseline traffic data, reporting an anomaly as a potential attack, receiving an indication that the anomaly is an attack, and then performing a set of response measures. The set of response measures may comprise allocating a dedicated frequency channel to traffic associated with the attack and assigning devices associated with the attack to that channel, while assigning other user devices to different frequency channels. Records of the attack and associated devices may be recorded and propagated across nodes, thereby enabling each node to respond appropriately even as the device moves from its original location.

Abstract: A method of controlling uplink power levels of radio cells in a wireless communications network is disclosed. The method comprises grouping sets of neighboring cells into a plurality of cell clusters, identifying at least one first cell cluster comprising at least one cell being subjected to interference and having a signal quality exceeding a signal quality threshold value, identifying at least one second cell cluster comprising at least one cell being subjected to interference and having a signal quality below the signal quality threshold value; creating a model based on the identified first cell cluster to map a nominal uplink power level to an estimated signal quality value thereof, and adjusting a nominal uplink power level of the at least one cell of the second cell cluster by applying the nominal uplink power level derived from the created model to attain a corresponding estimated signal quality value therein.

Abstract: Presented is a skew detection apparatus. In one form, the apparatus estimates skew based on the locations of a set of foreground content pixels or a set of edge pixels that are nearest to the side of an image of a document. In another form, the apparatus includes a skew estimation unit adapted to estimate skew based on the orientation of foreground or background content in the interior of a document. In another form, the apparatus estimates skew using segments of an image of a document. Also presented is a document image processing apparatus including the skew detection apparatus.

Abstract: Presented is a skew detection apparatus. In one form, the apparatus estimates skew based on the locations of a set of foreground content pixels or a set of edge pixels that are nearest to the side of an image of a document. In another form, the apparatus includes a skew estimation unit adapted to estimate skew based on the orientation of foreground or background content in the interior of a document. In another form, the apparatus estimates skew using segments of an image of a document. Also presented is a document image processing apparatus including the skew detection apparatus.

Abstract: Provided is a method for performing analysis on an image. An image is provided to users, wherein contents of the image are hidden from the users. Information regarding the contents of the image is collected from the users wherein a question is posed to the users to determine contents of the image. Alternate inputs are received from the users to reveal the contents of the image, wherein each input from the users partially reveals the contents of the image. A response to the question from the users is received until it is determined that an input from one of the users would reveal an identity of a human subject present in the image.

Abstract: Presented is a skew detection apparatus. In one form, the apparatus estimates skew based on the locations of a set of foreground content pixels or a set of edge pixels that are nearest to the side of an image of a document. In another form, the apparatus includes a skew estimation unit adapted to estimate skew based on the orientation of foreground or background content in the interior of a document. In another form, the apparatus estimates skew using segments of an image of a document. Also presented is a document image processing apparatus including the skew detection apparatus.

Abstract: Presented is a method of automatically performing an action, based on graphical input. The method comprises: receiving, for a user, an input image; comparing the input image with the contents of a user-customized database comprising a plurality of records, each record representing a predefined class of image, wherein the user has previously associated records in the database with respective specified actions; attempting to recognize the image, based on the similarity of the input image to one of the predefined classes of image represented in the user-customized database; and if the image is recognized, performing the action previously associated by the user with the class. Also presented is apparatus for recognizing an image and a method of constructing a user-customized database.

Abstract: Proposed is the use of a document widget for representing a property of a document. The document widget comprises: a human-readable portion for interpretation by a user; and a machine-readable portion representing the document property. By comprising information about a property of a document, a document widget may be processed in accordance with an optical recognition process so as to identify the document widget and enable extraction of the document property.

Abstract: An edge detection method and apparatus is disclosed. The method comprises the steps of: calculating a pixel gradient value for each of a plurality of pixels of a digital image, the pixel gradient value representing the difference of a pixel value with respect to at least one neighboring pixel; for each of a plurality of binarization threshold values, determining a corresponding edge map representing the location of pixel gradient values exceeding the binarization threshold value with respect to a side of the digital image; for each edge map, computing a measure of linearity; determining an optimal binarization threshold value based on the computed measures of linearity; and selecting the edge map corresponding to the optimal binarization threshold value.

Abstract: A system and method for classification of moving objects and user authoring of new object classes is disclosed. In one embodiment, in a method of classification of moving objects, a moving object is inputted. Then, an object descriptor and a motion descriptor are extracted from the inputted moving object. Multiple initial candidate library object descriptors are identified from an object library and a motion library using the extracted object descriptor and the extracted motion descriptor. An initial object class estimate is identified based on the identified multiple initial candidate library object descriptors. Then, an initial residue is computed based on the extracted object descriptor and the identified multiple initial candidate library object descriptors associated with the initial object class estimate. The object class estimates are iteratively identified and it is determined whether the object class estimates converge based on a stopping criterion.

Abstract: A method and apparatus for handling restricted access and server/client handoffs in a communication environment is described. In one embodiment, the method includes receiving a first request for a first set of image data corresponding to an image, and responding to the first request with the first set of image data. The method may also include receiving a second request for a second set of image data corresponding to the image and determining that the second set of image data includes restricted data. A prompt for authentication may then be sent. The method may also include receiving the second request along with authentication information, determining again that the second request is for restricted data, and checking the authentication information. If the authentication information is correct, the method may also include providing the second set of image data.

Abstract: Presented is a method of automatically performing an action, based on graphical input. The method comprises: receiving, for a user, an input image; comparing the input image with the contents of a user-customized database comprising a plurality of records, each record representing a predefined class of image, wherein the user has previously associated records in the database with respective specified actions; attempting to recognize the image, based on the similarity of the input image to one of the predefined classes of image represented in the user-customised database; and if the image is recognized, performing the action previously associated by the user with the class. Also presented is apparatus for recognizing an image and a method of constructing a user-customized database.

Abstract: Presented is a skew detection apparatus. In one form, the apparatus estimates skew based on the locations of a set of foreground content pixels or a set of edge pixels that are nearest to the side of an image of a document. In another form, the apparatus includes a skew estimation unit adapted to estimate skew based on the orientation of foreground or background content in the interior of a document. In another form, the apparatus estimates skew using segments of an image of a document. Also presented is a document image processing apparatus including the skew detection apparatus.

Abstract: An edge detection method and apparatus is disclosed. The method comprises the steps of: calculating a pixel gradient value for each of a plurality of pixels of a digital image, the pixel gradient value representing the difference of a pixel value with respect to at least one neighbouring pixel; for each of a plurality of binarization threshold values, determining a corresponding edge map representing the location of pixel gradient values exceeding the binarization threshold value with respect to a side of the digital image; for each edge map, computing a measure of linearity; determining an optimal binarization threshold value based on the computed measures of linearity; and selecting the edge map corresponding to the optimal binarization threshold value.

Abstract: A system and method for pipeline image processing is disclosed. In one example embodiment the one or more swaths of the image may be received on the server from a client device connected to the server via a network. The received one or more swaths are processed on a swath by swath basis to obtain one or more image quality parameters. The obtained one or more image quality parameters are compared with a predetermined threshold level. The obtained one or more image quality parameters may be sent to the client device for further processing of the image based on the obtained one or more image quality parameters.

Abstract: Presented is a method of rotating an input image comprising a plurality of rows of input pixels by a predetermined arbitrary angle to generate a rotated output image comprising a plurality of rows of output pixels. The method comprises: receiving a first input segment comprising a first contiguous subset of the plurality of rows of input pixels; applying to the first input segment a transformation depending on the predetermined angle and storing the transformed result in a memory; receiving a second input segment comprising a second contiguous subset of the plurality of rows of input pixels, the second subset being adjacent to the first in the input image; applying the transformation to the second input segment and storing the transformed result in a memory; and generating a first output segment based on the transformed results of the first and second input segments, the output segment comprising a contiguous subset of the plurality of rows of output pixels.

Abstract: Proposed is the use of a document widget for representing a property of a document. The document widget comprises: a human-readable portion for interpretation by a user; and a machine-readable portion representing the document property. By comprising information about a property of a document, a document widget may be processed in accordance with an optical recognition process so as to identify the document widget and enable extraction of the document property.

Abstract: A method and apparatus for transporting portions of a codestream over a communications mechanism is described. In one embodiment, the method comprises sending a request over a network and receiving tile-parts of a JPEG 2000 compliant codestream from the network as a return type as part of a response to the request.