Abstract: Provided are an image processing method, a device, and a storage medium, the method comprising: performing human face detection on a first image, and obtaining position information for each human face in the first image, then determining whether the first image conforms to a multi-person composition rule on the basis of the position information of each human face in the first image; and cropping the first image based on the position information of each face in the first image to obtain a processed image, in response to the first image not complying with the multi-person composition rule.

Abstract: A method including: obtaining a thin-mask transmission function of a patterning device and a M3D model for a lithographic process, wherein the thin-mask transmission function is a continuous transmission mask (CTM) and the M3D model at least represents a portion of M3D attributable to multiple edges of structures on the patterning device; determining a M3D mask transmission function of the patterning device by using the thin-mask transmission function and the M3D model; and determining an aerial image produced by the patterning device and the lithographic process, by using the M3D mask transmission function.

Abstract: A method comprises receiving a request to display a first digital image on a user device associated with a user. The first digital image is representative of a first side of a physical check, and the physical check has sensitive information in a field. Sensitive information is deleted from the first digital image so that the sensitive information is unrecoverable and unretrievable from the first digital image. After deleting the sensitive information from the first digital image, the first digital image is displayed on the user device. In response to determining that the user has failed to pass interdiction, an interdiction factor is received. In response to the interdiction factor matching a stored interdiction factor, the user is passed from interdiction. After passing the user from interdiction, a second digital image is displayed on the user device and the field is then unmasked.

Abstract: Appliance for processing food and method of operating the same The present application in particular is related to a method of operating a cooking appliance, in which a food category of a food item automatically can be assigned based on features extracted from an image of the food item. For improving assignment, the method is provided with self learning performance.

Abstract: The medical document creation support apparatus includes a visible information reception unit that receives visible information included in a current medical document, and a processing unit performs processing of suppressing a part of a content indicated by the visible information received by the visible information reception unit on the basis of at least one of a past image, a past medical document, or a predetermined rule.

Abstract: An image processing apparatus extracts a margin portion from an input image in a case in which the input image is a margined formation target image formed so as to include a margin, and automatically executes, based on the extracted margin portion, a print setting of the input image.

Abstract: A process facilitator in communication with a safe located at a first location of an entity external to the process facilitator and further in communication with a banking institution located at a second location external to the process facilitator and different from the first location, wherein the process facilitator functions as an intermediary between the safe and the banking institution in order to reduce the processing requirements on the safe and the improve the efficiency of electronic communications with the banking institution. A system comprising the process facilitator and one or more safes in communication with the process facilitator and using the process facilitator as the intermediary between the safes and the banking institution is also described.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing visual tracking. In one aspect, a method comprises receiving: (i) one or more reference video frames, (ii) respective reference labels for each of a plurality of reference pixels in the reference video frames, and (iii) a target video frame. The reference video frames and the target video frame are processed using a colorization machine learning model to generate respective pixel similarity measures between each of (i) a plurality of target pixels in the target video frame, and (ii) the reference pixels in the reference video frames. A respective target label is determined for each target pixel in the target video frame, comprising: combining (i) the reference labels for the reference pixels in the reference video frames, and (ii) the pixel similarity measures.

Abstract: Techniques for auto-generation of annotated real-world training data are described. An electronic document is analyzed to determine text represented in the document and corresponding locations of the text. A representation of the electronic document is modified to include markers and printed. The printed document is photographed in real-world environments, and the markers within the digital photographs are analyzed to allow for the depiction of the document within the photographs to be rectified. The text and location data are used to annotate the rectified images.

Abstract: A live video of a negotiable instrument may be provided to a financial institution so that an image of the negotiable instrument may be obtained from the live video, processed, and funds associated with the negotiable instrument may be deposited in an account of a user. The user may be identified and authenticated to the financial institution by one or more biometric characteristics. One or more biometric characteristics may be used to endorse the negotiable instrument. A holder may be used to hold the negotiable instrument while live video is being taken and provided from a user to a financial institution.

Abstract: This disclosure relates to the use of “pseudo-images” to perform image recognition, e.g., to perform facial image recognition. In an embodiment, the pseudo-image is obtained by starting with a real world image and, after optional preprocessing, subjecting the image to a non-linear transformation that converts the image into a pseudo-image. While real world objects (or, more generally, real world patterns) may be perceivable in the starting image, they cannot be perceived in the pseudo-image. Image recognition takes place by comparing the pseudo-image with a library of known pseudo-images, i.e., image recognition takes place in pseudo-image space without a return to real world space. In this way, robust image recognition is achieved even for imperfect real world images, such as, real world images that have been degraded by noise, poor illumination, uneven lighting, and/or occlusion, e.g., the presence of glasses, scarves, or the like in the case of facial images.

Abstract: Systems and methods for detecting crop marks depicted in digital images are disclosed. According to certain aspects, an electronic device may, in conjunction with enabling a user to customize a product design, facilitate a set of digital image processing functionalities to detect a set of crop marks depicted in a digital image associated with the product design. In particular, the systems and methods may detect a first set of lines depicted in a processed digital image indicative of content of interest extracted from the digital image, and detect a second set of lines depicted in a subtracted digital resulting from subtracting a set of contours from the processed digital image. The systems and methods may determine the set of crop marks from the first and second sets of lines.

Abstract: This disclosure relates to the use of “pseudo-images” to perform image recognition, e.g., to perform facial image recognition. In an embodiment, the pseudo-image is obtained by starting with a real world image and, after optional preprocessing, subjecting the image to a non-linear transformation that converts the image into a pseudo-image. While real world objects (or, more generally, real world patterns) may be perceivable in the starting image, they cannot be perceived in the pseudo-image. Image recognition takes place by comparing the pseudo-image with a library of known pseudo-images, i.e., image recognition takes place in pseudo-image space without a return to real world space. In this way, robust image recognition is achieved even for imperfect real world images, such as, real world images that have been degraded by noise, poor illumination, uneven lighting, and/or occlusion, e.g., the presence of glasses, scarves, or the like in the case of facial images.

Abstract: An information processing apparatus comprising: one or more processing devices; and one or more storage devices storing instructions for causing the one or more processing devices to: store observation information obtained through observation of a target region on the earth from a flying object moving in outer space into the one or more storage devices; output to a terminal device a map image corresponding to the target region on which a dividing line for dividing the target region into a plurality of areas is superimposed; accept designation input for designating multiple ones of the plurality of areas divided by the dividing line from the terminal device; extract area observation information being a part of the observation information and corresponding to each of the multiple ones of the plurality of areas designated; and output to the terminal device the area observation information extracted.

Abstract: A method for analysing performance of a network by managing network data relating to operation of the network is disclosed. The method comprises receiving a plurality of network data records from at least one network data source, processing the received plurality of network data records into a plurality of network data documents, each network data document corresponding to a received network data record, assembling the plurality of network data documents into document groups, generating statistical data for terms appearing in the document groups, and for at least one term, performing anomaly detection upon the statistical data for the term in the document groups, and detecting an anomaly in the term. The method further comprises performing at least one of identifying the term as an anomalous term, identifying the document group containing the anomaly as an anomalous group, and/or identifying a document containing the anomalous term as an anomalous document.

Abstract: A document image is obtained and fine-grain item-specific information within the document image is encrypted with varying levels of encryption, each encryption level associated is with a specific security access role. When the document image is presented to an end-user, the end-user's security access role determines which portions of the fine-grain item-specific information is decrypted and which portions remain encrypted, such that some portions of the document image are obfuscated from the end-user based on the end-user's security access role.

Abstract: Systems, devices, media, and methods are presented for graphical icon identification within an image or video stream. The systems and methods receive an image including a graphical icon. The systems and methods identify a set of proposed regions of the image, at least one proposed region of the set of proposed regions containing the graphical icon and extract a set of semantic features for each proposed region of the set of proposed regions. Based on the set of semantic features of the set of proposed regions, the systems and methods identify a set of proposed icons corresponding to the graphical icon included in the image and determine a match between the graphical icon and at least one proposed icon of the set of proposed icons.

Abstract: An apparatus and method for performing multisampling anti-aliasing. For example, one embodiment of an apparatus samples multiple locations within each pixel of an image frame to generate a plurality of image slices. Each image slice comprises a different set of samples for each of the pixels of the image frame. Anti-aliasing is then performed on the image frame using the image slices by first subdividing the plurality of image slices into equal-sized pixel blocks and determining whether each pixel block has one or more different pixel values in different image slices. If so, then edge detection and simple shape detection is performed using pixel data from a pixel block in a single image slice; if not, then edge detection and simple shape detection is performed using the pixel block in multiple image slices.

Abstract: A computer system receives an input of a predetermined area within a screen which is screen-shared, and performs a mosaic process so as to cause a sharing destination not to visually recognize either the predetermined area or an area within the screen other than the predetermined area. The computer system extracts and stores a character or an image of a part on which the mosaic process is performed by receiving the input, and performs, when it is displayed on the screen, the mosaic process on it in addition to either the predetermined area or an area within the screen other than the predetermined area.

Abstract: Methods, devices, and systems for conducting a checkless cash access settlement are provided. In one embodiment, a cash advance method includes the following: a customer initiates a cash access transaction via a cash access system; the customer receives authorization or denial; the customer provides identification and the financial card to a cashier or attendant; the cashier or attendant validates the customer's identity, retrieves the transaction information, and completes the cash advance application; the application prints a non-negotiable instrument, such as a transaction receipt; the customer signs the receipt confirming the transaction with a physical receipt or electronic capture.

Abstract: A method for template based recognition of food product information includes capturing an image of food product packaging and extracting an attribute from the image. The attribute is used to find a matching template in a template database. The matching template is then used to extract food product information from the image.

Abstract: Image information defining an image may be accessed. The image may include one or more salient objects. A saliency map may be generated based on the image information. The saliency map may include one or more regions corresponding to the one or more salient objects. The one or more regions may be characterized by different levels of intensity than other regions of the saliency map. One or more salient regions around the one or more salient objects may be identified based on the saliency map. A saliency metric for the image may be generated based on one or more of (1) sizes of the one or more salient regions; (2) an amount of the one or more salient regions; and/or (3) histograms within the one or more salient regions.

Abstract: Various embodiments herein each include at least one of systems, methods, and software for check image data inference processing. Another example method embodiment includes inferring a check amount of a check image included in an account group of check images stored in a memory device. Where the check amount is missing in check data associated with the check image or was poorly read by an optical character recognition process, the method includes inferring of the check amount based at least in part on one or more check amounts of check data associated with other check images of the account group. Once inferred, the method includes updating the check amount of the check data associated with the respective check image with the inferred check amount of the check image. Some embodiments also or alternatively include inferring a check date.

Abstract: A method, including identifying, using a sampling ratio, a random number of logical data units. A hash is calculated for each of the identified logical data units, and a first histogram is computed indicating a duplication count of each of the calculated hashes. Based on respective frequencies of the calculated hashes, a second histogram is computed indicating observed frequencies of each of the duplication counts in the first histogram, and based on the sampling ratio and the second histogram, a target function is derived. A range of acceptable results is derived for the target function, and based on the range of the acceptable results, a set of plausible duplication frequency histograms is defined. A first given plausible duplication frequency histogram having a highest number of distinct logical data units is identified, and a second given plausible duplication frequency histogram having a lowest number of distinct logical data units is identified.

Abstract: A set of rules is used by a processor of a device to render a digital image of handwriting (e.g., handwritten signature) by connecting data points captured on a touch sensitive surface of the device with line segments or curves. A set of rules determines whether two given data points will be connected by a line segment or a curve. If a curve is used, the set of rules determine characteristics of the curve through the derivation of control points. In some implementations, a smoothness adjustment factor can be applied to magnitudes of curve control points to reduce excessive smoothing for large distances between data points and maintain acceptable smoothing for short distances between data points. The magnitude can then be adjusted by multiplying by a constant factor which can be determined (e.g., heuristically) from the processing speed and resolution of the device upon which the curve is being rendered.

Abstract: A sub-image of data of a first full image may be selected. The sub-image of data may at least partially obscure an object within the first full image. A request to replace the sub-image of data may be transmitted over a network. The request may include transmitting the full image and transmitting metadata associated with the first full image to one or more of a server computing device. The server computing device may analyze a history of images and select one or more images of the history of images that match one or more attributes of the metadata. The server computing device may replace the sub-image of data using the one or more images to generate at least a second full image that includes the object, wherein the object is not obscured. The second full image may be received over the network.

Abstract: Information regarding one or more sensing devices in an environment is broadcasted. The broadcasted information is received by a user application running on a user device in the environment. The broadcasted information comprises information regarding presence of the one or more sensing devices in the environment and at least one of a capacity profile and an activity profile of the one or more sensing devices.

Abstract: A machine-executable process comprises receiving a request to take a screenshot of a display and receiving page source information of the display. The page source information is compared to stored page source information of displays that have had a screenshot taken to determine whether a screenshot of the display has already been taken. If a screenshot has not already been taken of the display, then a screenshot is taken and the page source information of the display is added to the stored page source information.

Abstract: Provided is an image processing apparatus including: a cutout frame setting section configured to set a cutout frame for partially cutting out an editing target image as an editing target; an image editing section configured to edit, in response to an instruction from a user, an image in the cutout frame superimposed on the editing target image; and a cutout image generation section configured to cut out the image in the cutout frame from the editing target image and generate a cutout image.

Abstract: Embodiments for extracting data for online account includes systems that receive at least one check images, apply one or more optical character recognition processes to at least a portion of the at least one check image, and convert image based data to text based data. The embodiments further identify check data in the text based data, identify online data from the check data, incorporate at least a portion of the online data into a portion of an online account, and provide the online account portion to a customer.

Abstract: The present invention relates to methods and systems for automatic image cropping. An automatic image cropping system includes a downsampling system, a saliency analyzer, a spatial scatter, and a face detector configured to detecting one or more faces within the image. The saliency value of each pixel not associated with a detected face within the image is adjusted if one or more faces within the image are detected. A search system defines a saliency region based on a total value of saliency values within the saliency region and on a parameter, where the parameter value is based on a relative importance of a false positive pixel to a false negative pixel. The search system also defines a crop region using an aspect ratio that includes the saliency region and determines a position of the crop region based the saliency values within the crop region by performing a one dimensional search.

Abstract: Embodiment for detecting duplicate images include systems for determining that two or more of the images have similar key attributes such as attributes related to certain data in the images or image quality. Further, the embodiments include superimposing at least a portion of a first image of the two or more images over at least a portion of the second image of the two or more images, comparing the first image and second image; and determining whether the first image and the second image are identical.

Abstract: Techniques to validate data in document capture are disclosed. An indication is received that a validation rule associated with two or more dependent fields in a data entry form comprising data values extracted from a multi-page document has failed. Ahuman validation interface is provided that enables an operator to view the affected dependent fields and for each an associated document image portion from which a corresponding data value was extracted, including by providing automated navigation to and display of the affected dependent fields.

Abstract: Network cameras employing advanced video analytics are increasingly being used in both public and private settings. Unlike fixed surveillance cameras, pan/tilt/zoom cameras provide a dynamic field-of-view. Some regions within a given field-of-view can be designated as private and may not be recorded. A window-blanking feature, according to an embodiment of the invention, enables an ability to block out defined portions of the video where a privacy zone may otherwise appear. Through use of the embodiment, consistent privacy is provided during dynamic surveillance to ensure compliance with privacy regulations or contractual arrangements relating to use of a surveillance camera having a privacy zone within the given field-of-view.

Abstract: A method for detecting the presence of a logo in a current picture of a video is disclosed. The method comprises: determining a current candidate logo bounding box in the current picture and a preceding candidate logo bounding box in a picture preceding the current picture; detecting the presence of a logo in the current picture if at least one of the following conditions is fulfilled: the distance between the centers of the current and the preceding candidate logo bounding boxes is below a first threshold or an overlap between the current and the preceding candidate logo bounding boxes is above a second threshold; or an overlap between the current candidate logo bounding box and a saliency mask of the current picture is above a third, wherein the saliency mask identifies regions around saliency peaks.

Abstract: A distribution evaluation apparatus includes an evaluation value calculating unit that calculates weighted energy, as an evaluation value representing distribution of located objects x and y, by calculating a product resulting from multiplying weighting function values ?(x) and ?(y) and probability density function values ?(x) and ?(y) representing densities or sizes of the located objects x and y, by a mutual influence value determined by a function fr having as a variable a distance between the located objects x and y, and then by summing the resulting products with respect to all the located objects x and y into the weighted energy, and an evaluating unit that evaluates the distribution of the located objects in accordance with the evaluation value calculated by the evaluation value calculating unit.

Abstract: A coding and decoding method for images or videos is provided by embodiments of the present invention to improve coding and decoding efficiency. The method includes: establishing a visual dictionary, wherein, the visual dictionary includes one or more visual words; extracting features from a specific object in an image; determining whether there is a visual word in the visual dictionary matching the specific object by using a feature matching method; obtaining the index of the visual word matched and a geometric relationship between the specific object and the visual word matched, wherein, the geometric relationship is represented by a project parameter; entropy coding the index of the visual word matched and the project parameter instead of entropy coding the specific object.

Abstract: Embodiment for detecting duplicate images include systems for determining that two or more of the images have similar key attributes such as attributes related to certain data in the images or image quality. Further, the embodiments include superimposing at least a portion of a first image of the two or more images over at least a portion of the second image of the two or more images, comparing the first image and second image; and determining whether the first image and the second image are identical.

Abstract: A method for automatically constructing a planogram from photographs of shelving, replacing laborious manual construction includes the following steps: a step (1) in which the images are received, a step (2) in which the images are assembled, a step (3) in which the structure is automatically constructed, a step (4) in which the products are automatically detected, and a step (5) in which the products are positioned in the structure. The product detection step (4) enhances traditional image recognition techniques, using artificial learning techniques to incorporate characteristics specific to the planograms. This product detection step (4) also includes at least two successive classification steps, namely: an initialization step (41) with detection of product categories; and a classification step (42) with the classification of the products themselves, each of these steps including a first image recognition step, followed by a statistical filtering step based on the characteristics specific to the planograms.

Abstract: The spatial frequency analysis contained in the compressed image is used not only for decompression of images but also for the selection of an appropriate gamut mapping algorithm. Computation resources are then saved because no specific spatial frequency analysis is required for the selection of an appropriate gamut mapping algorithm.

Abstract: An image signal processing apparatus and a method thereof are disclosed. The image signal processing apparatus includes a random producing unit which produces seed values to a plurality of frames input for a predetermined period by using a linear feedback shift register (LFSR), and a dithering processing unit which carries out a dithering to input image signals by using the seed values produced by the random producing unit. With this construction, the apparatus can carry out the dithering without using a frame buffer, thereby allowing a high-definition image to be realized.

Abstract: Method and apparatus for producing a cinemagraph, wherein based on received user input an image from a sequence of images is selected as a baseframe image. The baseframe image is segmented and at least one segment is selected based on user input. A mask is created based on the selected segments and at least one image most similar to the baseframe is selected from the sequence of images using the mask. The selected images are aligned the baseframe image a first cinemagraph is created from the selected images and the baseframe image using the mask.

Abstract: Image processing includes: receiving an image; applying shader code, using one or more processors, to the image to generate a blurred image version (BIV); receiving configuration information pertaining to a mask; generating the mask that includes an unblurred region and a blurred region, based at least in part on the configuration information; and applying the mask to combine the image and the BIV to render a composite image that includes an unblurred portion comprising a portion of the image corresponding to the unblurred region of the mask, and a blurred portion comprising a portion of the BIV corresponding to the blurred region of the mask.

Abstract: Acquired mask data of a defect portion is sent to a simulated repair circuit 300 to be simulated. The simulation of the acquired mask data 204 is returned to the mask inspection results 205 and thereafter sent to a wafer transfer simulator 400 along with a reference image at the corresponding portion. A wafer transfer image estimated by the wafer transfer simulator 400 is sent to a comparing circuit 301. When it is determined that there is a defect in the comparing circuit 301, the coordinates and the wafer transfer image which is a basis for the defect determination are stored as transfer image inspection results 206. The mask inspection results 205 and the transfer image inspection result 206 are then sent to the review device 500.

Abstract: A biometric authentication device that authenticates a user using biological features of the user, the biometric authentication device includes: an illumination unit configured to illuminate a target which represents the biological features; an image sensor configured to obtain a first captured image by capturing the target illuminated by the illumination unit, and obtain a second captured image by capturing the target not illuminated by the illumination unit; an acquisition unit configured to acquire from a storage unit a mask which has a target area approximating the shape of the target in the first and second captured images obtained by the image sensor; and a detection unit configured to detect light other than illumination light illuminated by the illumination unit based on the mask acquired by the acquisition unit and at least one of the first and second images.

Abstract: Various embodiments of the present invention relate to a method, system and computer program product for detecting and recognizing text in the images captured by cameras and scanners. First, a series of image-processing techniques is applied to detect text regions in the image. Subsequently, the detected text regions pass through different processing stages that reduce blurring and the negative effects of variable lighting. This results in the creation of multiple images that are versions of the same text region. Some of these multiple versions are sent to a character-recognition system. The resulting texts from each of the versions of the image sent to the character-recognition system are then combined to a single result, wherein the single result is detected text.

Abstract: Movies to be colorized/depth enhanced (2D?3D) are broken into backgrounds/sets or motion/onscreen-action. Background and motion elements are combined into composite frame which becomes a visual reference database that includes data for all frame offsets used later for the computer controlled application of masks within a sequence of frames. Masks are applied to subsequent frames of motion objects based on various differentiating image processing methods, including automated mask fitting/reshaping. Colors/depths are automatically applied with masks throughout a scene from the composite background and to motion objects. Areas never exposed by motion or foreground objects may be partially or fully realistically drawn/rendered/applied to the occluded areas and applied throughout the images to generate artifact-free secondary viewpoints during 2D?3D conversion.

Abstract: A quality control method for a machine for processing flat objects for producing packaging: A prepress file for packaging is used to define, in an extremely simple and quick way, masked zones which define which parts of the surface of the object are the parts in which the defects are not to be considered.

Abstract: Proprietary rights logos are detected in a video. The video is divided into a plurality of regions that are analyzed for generic proprietary rights logo features. A confidence mask is generated that comprises a plurality of scaling factors, each scaling factor corresponding to a region of the video and indicating a likelihood that the corresponding region of the video includes a proprietary rights logo. The scaling factors of the confidence mask are applied to the video data to generate an altered video. The altered video is analyzed to determine a confidence measure that the video includes a reference proprietary rights logo.

Abstract: Embodiments generally relate to providing privacy in a social network system. In some embodiments, a method includes recognizing one or more objects in at least one photo. The method also includes determining one or more objects to be obscured in the at least one photo based on one or more user preferences. The method also includes causing the at least one photo to be displayed such that the determined one or more objects are obscured.