Abstract: A processor-implemented method and system of this disclosure are configured to correct or resolve artifacts in a received digital image, using a selection of one or more encompassment measures, each encompassing the largest artifact and an optional second smaller artifact. The processor herein is configured to calculate difference in Gaussians using blurred versions of the input digital image and optionally, the input digital image itself; to composite the resulting difference in Gaussians and the input digital image; and to determine pixels with properties of invariant values, also referred to as invariant pixels. The values in the properties of the invariant pixels are then applied to the artifacts regions to correct these artifacts, thereby generating the modified digital image in which the artifact regions are more or less differentiable to a human eye when compared with the digital image.

Abstract: A method for identifying a need of a user based on an image word interpretation, the method comprising: assigning prime keywords and style keywords to a plurality of images, wherein the images having the prime and style keywords assigned thereto are stored by at least one image category of the images; receiving a target keyword from the user depending on a need of a user; displaying images within the at least one image category, and receiving a preferred image by the at least one category from the user; extracting a target image that matches the target keyword based on the received preferred image; and displaying the extracted target image in accordance with at least one way.

Abstract: Embodiments of the present invention provide systems and methods for image correlation and distribution. The method includes receiving an image depicting at least one person, metadata for the image, contact data, facial recognition data, and location data. The method further includes analyzing the image and other data, and determining the identity of people in the image based on the facial recognition data and the location data.

Abstract: Systems, apparatuses, and methods for efficiently and accurately processing an image in order to detect and identify one or more objects contained in the image, and methods that may be implemented on mobile or other resource constrained devices. Embodiments of the invention introduce simple, efficient, and accurate approximations to the functions performed by a convolutional neural network (CNN); this is achieved by binarization (i.e., converting one form of data to binary values) of the weights and of the intermediate representations of data in a convolutional neural network. The inventive binarization methods include optimization processes that determine the best approximations of the convolution operations that are part of implementing a CNN using binary operations.

Abstract: An anisotropic electrically conductive film has a structure wherein the electrically conductive particles are disposed on or near the surface of an electrically insulating adhesive base layer, or a structure wherein an electrically insulating adhesive base layer and an electrically insulating adhesive cover layer are laminated together and the electrically conductive particles are disposed near the interface therebetween. Electrically conductive particle groups configured from two or more electrically conductive particles are disposed in a lattice point region of a planar lattice pattern. A preferred lattice point region is a circle centered on a lattice point. A radius of the circle is not less than two times and not more than seven times the average particle diameter of the electrically conductive particles.

Abstract: The present invention relates to a method for converting an image file or document file into a drawing file including the steps of extracting an outline from an image of a subject file to be drafted; detecting corner feature points from the image of the subject file to be drafted based on the extracted outline to coordinate the corner feature points into outer edge coordinate information and connecting the detected corner feature points with a line to generate a first image; removing the outline from the image of the subject file to be drafted and detecting one or more elements to coordinate the elements into element coordinate information and generating a second image including the one or more detected elements; template matching by superimposing the generated first image and second image; and generating a drawing file for the subject file to be drafted by using the outer edge coordinate information and element coordinate information.

Abstract: An image processing system may include an imaging device for capturing an image and an image processing apparatus for processing the image. The imaging device may include an imaging unit for capturing the image, a first recording unit for recording information relating to the image, the information being associated with the image, and a first transmission control unit for controlling transmission of the image to the image processing apparatus. The image processing apparatus may include a reception control unit for controlling reception of the image transmitted from the imaging device, a feature extracting unit for extracting a feature of the received image, a second recording unit for recording the feature, extracted from the image, the feature being associated with the image, and a second transmission control unit for controlling transmission of the feature to the imaging device.

Abstract: Methods and systems including computer programs encoded on a computer storage medium, for generating and displaying object recognition state indicators during object recognition processing of an image. In one aspect, a method includes performing object recognition on an image displayed in an application environment of an application on a user device using an object recognition model having multiple object recognition states including an identification state, where a candidate object in the image is positively identified, and one or more precursor states to the identification state, and where each of the precursor states has a different respective indicator for display within the image during the respective precursor state that visually emphasizes the candidate object and the identification state has a different respective indicator for display within the image during the identification state that visually emphasizes the positively identified object as being positively identified.

Abstract: The present application discloses a method and apparatus for obtaining a semantic label of a digital image. An implementation of the method includes: obtaining the digital image; looking up a semantic label model corresponding to the digital image, the semantic label model being used for representing correlation between digital images and semantic labels, and a semantic label being used for literally describing a digital image; and introducing the digital image into the semantic label model to obtain full-image recognition information and local recognition information corresponding to the digital image, and combining the full-image recognition information and the local recognition information to form a semantic label, the full-image recognition information being a summarized description of the digital image, and the local recognition information being a detailed description of the digital image.

Abstract: Disclosed are systems and methods for performing spoof detection. The method includes: receiving, by a processor from a biometric sensor, an input image of a biometric; analyzing the input image to identify pixels associated with a first feature in the input image; performing a local binary pattern (LBP) analysis on the pixels associated with the first feature, which comprises computing, for a given pixel associated with the first feature, an LBP value corresponding to texture of one or more neighboring pixels around the given pixel, wherein the neighboring pixels around the given pixel comprise eight pixels around the given pixel, including pixels on a top, a bottom, a left, a right, and at four corners of a location of the given pixel; and, determining whether the input image is a replica of the biometric based on results of performing the LBP analysis on the pixels associated with the first feature.

Abstract: The present invention provides a method that includes receiving a result word set in a target language representing a translation of a test word set in a source language. When the result word set is not in a set of acceptable translations, the method includes measuring a minimum number of edits to transform the result word set into a transform word set. The transform word set is in the set of acceptable translations. A system is provided that includes a receiver to receive a result word set and a counter to measure a minimum number of edits to transform the result word set into a transform word set. A method is provided that includes automatically determining a translation ability of a human translator based on a test result. The method also includes adjusting the translation ability of the human translator based on historical data of translations performed by the human translator.

Abstract: Disclosed is a method and system for processing images from an aerial imaging device. A moving vehicle analysis system receives images from an aerial imaging device. The system may perform edge analysis in the images to identify a pairs of edges corresponding to a road. The system may identify pixel blobs in the images including adjacent pixels matching each other based on a pixel attribute. The system uses a machine learning model for generating an output identifying moving vehicles in the images. The system determines a count of the moving vehicles captured by the images, where each moving vehicle is associated with corresponding pixel blobs.

Abstract: A computer-implemented method of speech recognition comprises forming a weighted finite state transducer (WFST) having nodes associated with states and interconnected by arcs, and to identify at least one word or word sequence hypothesis, identifying multiple sub-graphs on the WFST, each sub-graph having the same arrangement of multiple states and at least one arc, and propagating tokens in parallel through the sub-graphs, where each sub-graph is stored as a supertoken each having an array of tokens.

Abstract: A feature amount, and context information representing a context regarding an image are obtained from the image. The first likelihood indicating the likelihood at which the image is an image of a specific object is obtained from the feature amount. The second likelihood indicating the likelihood at which the image is an image of the specific object is obtained from the context information. Whether the image is an image of the specific object is identified using the first likelihood and the second likelihood.

Abstract: A method includes receiving video data representative of a video frame. The video frame includes a first representation of a first object. The method also includes determining whether to replace the first representation in the video frame with a second representation of a second object based on an object matching rule. In response to determining that the first representation is to be replaced with the second representation, the method includes manipulating a three-dimensional model of the second object to generate the second representation of the second object so that a first visual property of the second representation matches a second visual property of the first representation. The method further includes generating a modified version of the video frame that includes the second representation in place of the first representation.

Abstract: A system for performing automatic cinemagraph creation is described herein. The system comprises a memory and a processor. The memory is configured to receive series of images. The processor is coupled to the memory. The processor is to segment the series of images, select the most fitting times and mask, and apply the times and masks to the series of images to generate a cinemagraph.

Abstract: Techniques are disclosed for detecting knowledge based on brainwave response to external stimulation. A subject can be exposed to stimuli and brainwave responses indicating a p-300 signal can be detected. Further stimuli or sequences of stimuli can be selected be presented to the subject based on the category correlated with the stimuli that indicate a p-300 response.

Abstract: Image color data for a field of view is received. Thereafter, color segmentation can be performed on the image color data to define at least one bounding polygon that minimizes an amount of free space within each bounding polygon. The at least one bounding polygon is then used to crop the image color data to result in cropped image color data. Image processing can then be applied to the cropped image color data to identify at least one object therein. Related apparatus, systems, techniques and articles are also described.

Abstract: The invention concerns a wearable device 1 comprising a sensor 3 adapted for sensing a body part movement, a controller unit 4 adapted for sampling and processing data from the sensor 3 in order to detect a body part movement, and communication means 5 for communicating with at least one external device. The controller unit 4 is arranged to trigger at least voice capturing upon detection of a body part movement. The invention further concerns a name recalling system 100 comprising a wearable device 1, a mobile phone 20, a microphone 7, 28, 43, processing means 26, 31, a database 27, 32, and a name presentation unit 21, 52. The invention also concerns a method for name recollection.

Abstract: The present invention is directed to system and method capture and process body measurement data including one or more body scanners, each body scanner configured to capture a plurality depth images of a user. A backend system, coupled to each body scanner, is configured to receive the plurality of depth images, generate a three dimensional avatar of the user based on the plurality of depth images, and generate a set of body measurements of the user based on the avatar. A repository is in communication with the backend system and configured to associate the body scanner data with the user and store the body scanner data.

Abstract: The objective of the present invention is to obtain an external environment-recognizing apparatus with which it is possible to obtain detection results having a necessary accuracy when a plurality of target objects from a captured image are detected.

Abstract: An apparatus and method for tracking content are provided. The apparatus is an electronic device that includes a communication circuit and a processor electrically connected to the communication circuit. The processor may be configured to receive information about a tracking target item from an external electronic device, to receive content from a content provider, determine a degree of semantic similarity between the tracking target item and the content, generate at least one update related to the tracking target item, based on the degree of semantic similarity, and send the at least one update to the external electronic device.

Abstract: An object tracking device includes a short-term processing portion and a long short-term processing portion that are implemented by circuitry and work in a collaborative manner to track an object. The short-term processing portion includes a filter that tracks the object based on short-term memory and spatiotemporal consistency. The long short-term processing portion performs key-point matching-tracking and estimation based on a key-point database in order to track the object. A controller determines an output of the object tracking device based on the processing conducted by the short-term and long short-term processing portions of the tracking device, respectively.

Abstract: A method and system for associating a physically identifiable feature of a person with the unique identifier of a mobile device carried by the person as detected across repeat visits to a physical location or multiple locations. Specifically, associating the face of a repeat visitor with a unique identifier of a mobile device, such as the device's MAC address, by means of a repeat visit analysis without any explicit or voluntary participation of the person, for example, in a form of providing their information by participation in a survey. For each detection of a particular MAC address associated with a mobile device at a particular physical location, a set of candidate faces can be captured at that physical location. Revisiting faces can be identified and grouped together, and a probability that each group of faces is associated with a particular MAC address can then be calculated.

Abstract: A camera module of the disclosure includes: an imaging unit that includes a plurality of pixels, acquires a first detection value in one of the pixels in a second term out of a first term, the second term, a third term, and a fourth term that are set in order, acquires a second detection value in the relevant one of the pixels in the fourth term, and obtains a pixel value of the relevant one of the pixels on the basis of a difference between the first and second detection values; a lens unit including a lens and an actuator that drives the lens; and a driver unit that generates a drive signal and drives the actuator using the drive signal, in which the drive signal makes a transition in each of the first and third terms.

Abstract: Three-dimensional virtualization may include receiving captured images of an entity and/or a scene, and/or capturing the images of the entity and/or the scene. The images may be connected in a predetermined sequence to generate a virtual environment. A virtual reality application may be generated to implement controls for manipulation of the virtual environment. Gestures related to a view generated by the virtual reality application may be received. The gestures may be translated to manipulate the view generated by the virtual reality application.

Abstract: At least a computer-implemented method and an apparatus for processing an image are described. In examples, numeric values for at least one property of the image are determined. These values are then converted into at least one corresponding text character, said conversion being independent of any text content within the image. This enables a text representation of the image to be generated that contains said plurality of text characters. This text representation may be used to index and search for the image.

Abstract: A shooting method, a shooting device and a computer storage medium. The shooting method comprises: continuously collecting images; reading the collected images and identifying a light painting region in the currently read image; extracting the light painting region and superposing the light painting region on a foundation image at a corresponding position to perform image synthesis and generate a synthesized image, and using the synthesized image as the foundation image for the next time of image synthesis; capturing the synthesized image and performing coding processing on the captured synthesized image; and converting image data after the coding processing into video file after the shooting is completed.

Abstract: There is disclosed a method and system for objective video quality assessment. The objective video quality assessment approach automatically predicts human visual quality assessment behaviors in evaluating videos that contain artifacts generated during video acquisition, storage, reproduction, compression, transmission, processing, and/or display. The present method and system computes a five-dimensional quality map of a video being assessed, where the map indicates the local quality variations of the video in a five-dimensional space, which includes two spatial dimensions, one scale dimension, one time dimension, and one distortion type dimension. The present method and system may use one or a combination of device and viewing condition parameters in the generation of the quality map, and in the combination of the quality map into a scalar or vector-values measure that indicates quality aspects of the test videos.

Abstract: Users may have a variety of photos, but lack a mechanism to organize the photos. For example, a user may desire to access a photo of a child in front of a national monument, but may be unable to locate the photo amongst the photos. Accordingly, a photo query may be generated utilizing a photo query interface populated with a face query attribute (e.g., a proxy icon, a photo of a face, etc.), a face position attribute (e.g., a position of the face query attribute), and/or a location query attribute (e.g., a background of a photo, such as a forest, a monument, etc.) using drag and drop functionality and/or any other query construction functionality. One or more photos having attributes corresponding to the photo query may be identified and provided to the user.

Abstract: The invention discloses a vehicle detection method based on hybrid image template. This method consists of the three steps. Firstly, use no less than one vehicle image for template learning. Secondly, use information projection algorithm to learn a hybrid image template from the training images for vehicle object. The hybrid image template consists of no one less than image patch. Meanwhile, calculate the likelihood probability distribution of this template. Thirdly, use the learned HIT template to detect vehicle objects from testing images. The invention is suitable to detect vehicles with various vehicle shapes, vehicle poses, time-of-day and weather conditions. Besides vehicle localization, this method can also provide the detailed description of vehicle object.

Abstract: An apparatus includes a first circuit, a second circuit and a third circuit. The first circuit may be configured to (i) receive an image in a raster order, where the image has a plurality of data values arranged in a plurality of raster lines, and (ii) set a flag corresponding to a current value among the data values in a current line of the raster lines to indicate that the current value is a maximum value in a one-dimensional window in the current line. The second circuit may be configured to reset the flag based on one or more previous lines of the raster lines to indicate that the current value is not the maximum value in a two-dimensional window around the current value. The third circuit may be configured to generate an output value in the current line based on the flag.

Abstract: The present application discloses a vehicle searching method and device, which can perform the steps of: calculating an appearance similarity distance between a first image of a target vehicle and several second images containing the searched vehicle; selecting several images from the several second images as several third images; obtaining corresponding license plate features of license plate areas in the first image and each of the third images with a preset Siamese neural network model; calculating a license plate feature similarity distance between the first image and each of the third images according to license plate feature; calculating a visual similarity distance between the first image and each of the third images according to the appearance similarity distance and the license plate feature similarity distance; obtaining a the first search result of the target vehicle by arranging the several third images in an ascending order of the visual similarity distances.

Abstract: In one respect, there is provided a system that may include a processor and a memory. The memory may be configured to store instructions that results in operations when executed by the processor. The operations may include: generating a concatenated feature map set by at least combining a first feature map set and a second feature map set, the first feature map set and the second feature map set each indicating one or more occurrences of a feature within an image, the first feature map set having a different scale than the second feature map set; and classifying, by a convolutional neural network, an image, the classifying of the image being based at least on the concatenated feature map set. Related methods and articles of manufacture are also disclosed.

Abstract: Provided herein are methods and systems for multi-person authentication and validation systems for sharing of images. The multi-person authentication and validation system may identify the respective faces of one or more individuals captured in an image, and request authorization for sharing the image from the one or more individuals captured in the image. In some instances, the multi-person authentication and validation system may provide a different image version for sharing if at least one of the one or more individuals denies authorization.

Abstract: Methods, systems, and storage media are described for detecting objects in image data are provided. In embodiments, a computing device may generate a plurality of blocks from a captured image. Each block may represent a corresponding region of the captured image. The computing device may extract a first feature from at least one block of the plurality of blocks; determine a second feature based at least on the first feature; and determine a third feature based on the second feature. The computing device may determine, as a matching image, a stored image from among a plurality of stored images including an object that has greatest maximum correlation with the third feature. Other embodiments may be described and/or claimed.

Abstract: Multiple parallel prediction functions are employed for content-aware data compression. An exemplary method comprises obtaining a floating point number comprising a sign, an exponent at a given base and a significand having a length; applying a plurality of distinct prediction algorithms to the floating point number to generate a corresponding plurality of predictions; selecting a given one of the plurality of distinct prediction algorithms for the floating point number by evaluating a compression metric applied to the plurality of predictions; and encoding the floating point number by encoding the exponent and the length as a single code using a residual generated by the selected prediction algorithm. A disambiguation index optionally identifies the selected prediction algorithm among a set of prediction algorithms that potentially generated the selected prediction.

Abstract: A system, methods, and apparatus for generating pattern recognition classifiers are disclosed. An example method includes identifying graphical objects within an image of a card object, for each identified graphical object: i) creating a bounding region encompassing the graphical object such that a border of the bounding region is located at a predetermined distance from segments of the graphical object, ii) determining pixels within the bounding region that correspond to the graphical object, iii) determining an origin of the graphical object based on an origin rule, iv) determining a text coordinate relative to the origin for each determined pixel, and v) determining a statistical probability that features are present within the graphical object, each of the features including at least one pixel having text coordinates and for each graphical object type, combining the statistical probabilities for each of the features of the identified graphical objects into a classifier data structure.

Abstract: Condition detection using image processing may include receiving a mask generated from images and telemetry data captured by a vehicle, an altitude map, and alignment data for the mask. The images may be related to movement of the vehicle along a vehicle path and non-infrastructure entities along an infrastructure entity position of a corresponding infrastructure entity, and the telemetry data may include movement log information related to the movement of the vehicle along the vehicle path. Condition detection using image processing may further include using the mask related to the vehicle path and the non-infrastructure entities, and an infrastructure rule to detect a risk related to the infrastructure entity by analyzing the mask related to the vehicle path and the non-infrastructure entities, and the infrastructure rule, and determining whether the infrastructure rule is violated.

Abstract: An electronic apparatus is provided. The electronic apparatus includes a processing unit configured to extract at least one frame selected from a plurality of frames of moving-picture data as a candidate thumbnail image, wherein the at least one frame corresponds to at least one frame selected according to a plurality of thumbnail extraction criteria, and to determine at least one candidate thumbnail image selected from a group comprising candidate thumbnail images obtained by the extracting, as at least one final thumbnail image, based on a thumbnail extraction criterion to which the candidate thumbnail images obtained by the extracting respectively correspond, and a display unit configured to display the at least one final thumbnail image.

Abstract: The invention relates to a smoke detection device 1, said smoke detection device 1 being connectable to at least one monitoring camera 2 which is designed to capture images of a monitored area, said monitored area comprising at least one stationary lighting object 3. The smoke detection device comprises an analyzing device 4, said analyzing device 4 being designed to detect at least one smoke detection feature in the monitored area in order to detect smoke in the images. The analyzing device 4 detects the at least one lighting object in the images, and the analyzing device 4 detects a change of a light scattering of the at least one detected lighting object 3 as the at least one smoke detection feature.

Abstract: Embodiments of the present invention relate to systems and methods for controlling the recording, storing and transmitting of video content captured by security cameras in order to drastically reduce the overall bandwidth required to remotely monitor a physical space. More specifically, embodiments of the present invention relate to a method of triggering or activating a video camera to record and/or transmit images of a physical environment over a network only when measurements taken by a separate structural sensor camera or depth-sensing device indicate that sufficient physical changes have occurred in the environment to warrant video recording.

Abstract: The invention discloses a web-based live broadcasting method, which comprises the steps of real-time intercepting video information captured from a camera so as to obtain camera pictures; storing each frame of the camera picture as a texture object; rendering the texture object, and screening out a reference color of the pixels in the texture object; bonding the rendered texture object to a pre-set virtual background to obtain a bonded scene image information; and encoding the bonded scene image information to generate a video stream for live broadcasting. This invention further discloses a client terminal of web-based live broadcasting and a web-based live broadcasting system. The present invention can meet a requirement of a real-time processing on a picture during live broadcasting and can run smoothly on the mobile phone, with less consumption of resources.

Abstract: Methods and apparatus are provided for content-aware compression of data using selection from multiple weighted prediction functions. An exemplary method comprises obtaining a floating point number; applying a plurality of distinct prediction algorithms to the floating point number to generate a corresponding plurality of predictions; selecting at least one of the predictions for the floating point number based on combination weights for the plurality of distinct prediction algorithms, wherein the combination weights are based only on prior samples of the floating point numbers; and encoding the floating point number by encoding, as a single code, the exponent and the length of a residual generated by the distinct prediction algorithm associated with the selected at least one prediction. The combination weights are optionally updated for subsequent floating point numbers.

Abstract: Computer program products and systems are provided for mining for sub-patterns within a text data set. The embodiments facilitate finding a set of N frequently occurring sub-patterns within the data set, extracting the N sub-patterns from the data set, and clustering the extracted sub-patterns into K groups, where each extracted sub-pattern is placed within the same group with other extracted sub-patterns based upon a distance value D that determines a degree of similarity between the sub-pattern and every other sub-pattern within the same group.

Abstract: A method for determining an extent of anistropy of texture of an image in a manner that avoids inaccuracies arising from interpolation.

Abstract: Implementations relate to augmented display of information in a device view of a display screen. In some implementations, a method includes detecting a physical display screen appearing in a field of view of an augmenting device, and detecting an information pattern in output associated with the physical display screen. The method extracts displayable information and screen position information from the information pattern, where the screen position information is associated with the displayable information and indicates a screen position on the physical display screen. The method causes a display of the displayable information overlaid in the field of view of the augmenting device, where the display of the displayable information is based on the screen position information.

Abstract: An information processing apparatus includes an image acquisition unit, variation amount deriving unit, acquisition unit, and threshold value deriving unit. The image acquisition unit acquires a captured image obtained by an imaging unit. The variation amount deriving unit derives a luminance value variation amount of a predetermined area of the acquired captured image based on a luminance value of the predetermined area and first information indicating a relationship between a captured image luminance value and an amount of luminance value variation. The acquisition unit acquires an amount of variation of a luminance gradient value based on the derived amount of variation of the luminance value, wherein the luminance gradient value is a gradient value of the luminance value. The threshold value deriving unit derives a threshold value with which an obtained luminance gradient value is to be compared, based on the acquired amount of variation of the luminance gradient value.

Abstract: An image processing apparatus includes an acquisition unit, a first calculation unit, a combination unit, a second calculation unit, and a correction unit. The acquisition unit acquires a plurality of pieces of image data captured sequentially in time series. The first calculation unit calculates a first displacement between one piece of image data among the plurality of pieces of image data and a piece of image data adjacent in time series to the one piece of image data. The combination unit combines a plurality of first displacements to obtain a second displacement between the one piece of image data and a piece of image data neighboring the one piece of image data in time series. The second calculation unit calculates a correction amount for the one piece of image data based on the second displacement. The one piece of image data is corrected based on the calculated correction amount.

Abstract: Embodiments of the present invention disclose a method for facial recognition processing using biometric pre-filters. The computer identifies two eyes and a nose of a face in an image. The computer generates a triangle defined by points corresponding to the centers of the eyes and a nose-tip of the face. The computer receives a selection of a demographic characteristic. The computer determines a search range for the first triangle based on the demographic characteristic and a range of a length for at least one side of the first triangle. The computer identifies another image. The second image includes another face with a triangle formed by the eyes and nose of that face that is included in the determined search range for the first triangle. The computer determines at least one potential identity that is associated with the first detected face based on an identity of the second face.