Abstract: A signal output unit outputs an acquired signal. A signal accumulation unit accumulates signals. A signal attribute value display unit displays a value of an attribute related to an element constituting a target represented by the acquired signal or a signal generation source in a state in which an instruction for changing the value of the attribute is able to be received. A changed attribute value acquisition unit acquires a changed value of the attribute when the instruction for changing the value of the attribute is received. A signal retrieval unit retrieves, from the signals accumulated in the signal accumulation unit, a signal similar to a changed signal when the value of the attribute has been changed on the basis of the changed value of the attribute acquired by the changed attribute value acquisition unit.

Abstract: A method for automatic extraction of data from a graph, including text area locating and text box classification; locating of coordinate axes, and locating of the positions of hatch marks on the coordinate axes; legend locating and information extraction; extracting corresponding bar or polyline connected components according to legend color, and filtering and classification; determining key points on the X-axis and locating a corresponding X-axis label for each key point; locating key points of the bars and polyline according to the X-axis key points, determining labeled numerical text boxes that correspond to the key points, and identifying the numerical text; calculating a corresponding value for each pixel, and estimating corresponding values of the key points of the bars or polyline; determining a final result according to a difference between the estimated values and the recognized labeled values.

Abstract: Proposed in various embodiments of the present disclosure are a device and a method for image processing, whereby image conversion by dilation is carried out in a multimedia system. To this end, an electronic device for image processing may identify between a first unused area in a first picture and a second unused area in a second picture, the first unused area and the second unused area having the same time information. The electronic device may acquire fill values for replacing the first unused area and the second unused area, on the basis of a value acquired from the first unused area and a value acquired from the second unused area. The electronic device may acquire a first converted picture and a second converted picture by replacing the first unused area and the second unused area by using the acquired fill values.

Abstract: According to one embodiment, an image processing method causes a computer to function as an image processing apparatus including an acquisition unit and a control unit. The acquisition unit acquires image data. The control unit performs a control process of detecting a character string of each color included in the image data and associating the character string with the color using the character string of the color.

Abstract: Provided are systems and methods for synthesizing novel views of complex scenes (e.g., outdoor scenes). In some implementations, the systems and methods can include or use machine-learned models that are capable of learning from unstructured and/or unconstrained collections of imagery such as, for example, “in the wild” photographs. In particular, example implementations of the present disclosure can learn a volumetric scene density and radiance represented by a machine-learned model such as one or more multilayer perceptrons (MLPs).

Abstract: The present invention relates to a method of verifying that (or determining whether) a biometric feature of a live human is present. More particularly, the present invention relates to a method of verifying that (or determining whether) a biometric feature of a live human is present for use as part of a biometric recognition system and/or method. In particular, the invention relates to a method 100 of determining whether a biometric feature of a live human is present, comprising: using a camera 106, capturing 202 visual data of a presented biometric feature; transmitting 204 a signal towards the biometric feature; using a sensor 108, capturing 206 data related to a reflected signal from the presented biometric feature; and determining 208 whether the visual data and the reflected signal data relate to a biometric feature having realistic dimensions thereby to determine 210 that a live biometric feature is present.

Abstract: An image processing apparatus is provided, which includes: an input unit that receives input of a first image and a second image; a high-frequency image extractor that extracts a high-frequency image from the first image; a low-frequency image extractor that extracts a low-frequency image from the second image; an edge portion extractor that extracts an edge image of the second image; a determination unit that determines a composite position of the high-frequency image and the low-frequency image so that a degree of overlap between the first image and an edge portion is small, and a combiner that combines the high-frequency image and the low-frequency image at the composite position determined by the determination unit.

Abstract: Exemplary embodiments may provide an approach to converting multidimensional color data for an image encoded in a first color space into an intermediate form that is a single dimensional value. The exemplary embodiments may then decode the intermediate form value to produce an encoding of the color data that is encoded in a second color space that differs from the first color space. In this manner, the data for the image may be efficiently converted from an encoding in the first color space into an encoding in the second color space.

Abstract: Computerized techniques for improved binarization and extraction of information from digital image data are disclosed in accordance with various embodiments. The inventive concepts include rendering a digital image using a plurality of binarization thresholds to generate a plurality of binarized digital images, wherein at least some of the binarized digital images are generated using one or more binarization thresholds that are determined based on a priori knowledge regarding an object depicted in the digital image; identifying one or more connected components within the plurality of binarized digital images; and identifying one or more text regions within the digital image based on some or all of the connected components. Systems and computer program products are also disclosed.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content providing, searching and/or hosting systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a novel framework that automatically generates and recommends Internet memes for inclusion within electronically communicated messages. As a user is drafting a message, the input text of the drafted message is analyzed and a set of Internet (or visual) memes are compiled and presented to the user within the drafting interface. Upon selection of at least one of the memes, the message is modified by automatically removing the text from the message and replacing the now removed text with the selected meme.

Abstract: Systems, methods and computer storage media for using body key points in received images and cropping rule representations to crop images are provided. Cropping configurations are received that specify characteristics of cropped images. Also obtained are images to crop. For a given image, a plurality of body key points is determined. A list of tuples is determined from the body key points and the cropping configurations. Each tuple includes a reference point, a reference length and an offset scale. A possible anchor level is calculated for each tuple. Each tuple sharing a common reference body key point is aggregated and a border representation is determined by calculating the minimum, maximum or average of all such possible anchor levels. The image is then cropped at the border representation. This process can be repeated for multiple border representations within a single image and/or for multiple images.

Abstract: Embodiments of the present invention provide a human-machine interface (HMI) for a vehicle, comprising an output means (40, 50) for outputting information, passenger monitoring means (20) for determining a status of at least one passenger within the vehicle and to outputting a passenger status signal indicative thereof, control means (10) for determining an operating state of one or more systems of the vehicle, wherein the control means (10) is arranged to receive the passenger status signal, and wherein the control means (10) is arranged to compose an output from the output means (40, 50) in dependence on the operating state of the one or more systems and the passenger status signal.

Abstract: A motion image integration method includes acquiring a raw image, detecting a first motion region image and a second motion region image by using a motion detector according to the raw image, merging the first motion region image with the second motion region image for generating a motion object image according to a relative position between the first motion region image and the second motion region image, and cropping the raw image to generate a sub-image corresponding to the motion object image according to the motion object image. A range of the motion object image is greater than or equal to a total range of the first motion region image and the second motion region image. Shapes of the first motion region image, the second motion region image, and the motion object image are polygonal shapes.

Abstract: This disclosure is generally directed to identifying electronic forms using spatial information of elements presented on a website. Identifying a type of an electronic form may include identifying particular input elements associated with the form, determining a bounding region of the input element, expanding the bounding region, and determining any intersections of the expanded bounding region with one or more label elements proximate to the input element. Keywords of the label elements can be analyzed to increase or decrease a confidence level that an input element is associated with a particular input type. A bounding region can be dynamically sized based on a number of intersecting elements. An electronic form can be identified based on the identified input elements. In some instances, the electronic forms may assist a user in accessing or updating remotely stored personal information, including payment information, across one or more third party electronic sites.

Abstract: An information processing system includes a processor configured to analyze an obtained document, the processor being configured to: obtain plural documents where information to be shared by plural participants is recorded; calculate a degree of similarity in details in units of blocks between different documents, the blocks being blocks of sentences included in the documents; determine an execution order of executing work of sharing details of each of the blocks on the basis of the degree of similarity; and allocate work time for performing the work of sharing details of each of the blocks on the basis of a number of characters in each of the blocks.

Abstract: A computer is caused to realize: a line drawing data acquisition function to acquire line drawing data to be colored; a size-reducing process function to perform a size-reducing process on the line drawing data acquired to a predetermined reduced size so as to obtain size-reduced line drawing data; a first coloring process function to perform a coloring process on the size-reduced line drawing data based on a first learned model that has previously learned the coloring process on the size-reduced line drawing data by using sample data; and a second coloring process function to perform a coloring process on original line drawing data by receiving an input of the original line drawing data and colored, size-reduced line drawing data as the size-reduced line drawing data on which the first coloring process function has performed the coloring, based on a second learned model that has previously learned the coloring process on the sample data by receiving an input of the sample data and colored, size-reduced sampl

Abstract: In implementations of adding color to digital images, an image colorization system can display a digital image to be color adjusted in an image editing interface and convert pixel content of the digital image to a LAB color space. The image colorization system can determine a lightness value (L) in the LAB color space of the pixel content of the digital image at a specified point on the digital image, and determine colors representable in an RGB color space based on combinations of A,B value pairs with the lightness value (L) in the LAB color space. The image colorization system can then determine a range of the colors for display in a color gamut in the image editing interface, the range of the colors corresponding to the A,B value pairs with the lightness value (L) of the pixel content at the specified point on the digital image.

Abstract: The invention provides a method for generating an ultrasound image. The method includes obtaining ultrasound data from an ultrasonic transducer array, the ultrasonic transducer array having M transducer elements. The method further includes generating N sets of image data from the ultrasound data using N random apodization functions. A minimizing function is then applied to a collection of image data, wherein the collection of image data comprises the N sets of image data. An ultrasound image is then generated based on the minimized image data.

Abstract: Various embodiments described herein utilize multiple levels of generative adversarial networks (GANs) to facilitate generation of digital images based on user-provided images. Some embodiments comprise a first generative adversarial network (GAN) and a second GAN coupled to the first GAN, where the first GAN includes an image generator and at least two discriminators, and the second GAN includes an image generator and at least one discriminator. According to some embodiments, the (first) image generator of the first GAN is trained by processing a user-provided image using the first GAN. For some embodiments, the user-provided image and the first generated image, generated by processing the user-provided image using the first GAN, are combined to produce a combined image. For some embodiments, the (second) image generator of the second GAN is trained by processing the combined image using the second GAN.

Abstract: A hardware system is configured for, and a method of, generating detail-rich gradient-based disparity maps in real-time using an automated gradient-based disparity map classification process that is scalable, can be used under different environment conditions with little to no restrictions, and whose level of precision can be adjusted in a scalable manner. Highly accurate cross-spectral stereo matching methods may be used for search and rescue operations and work at day time and night time using current and past visual and full infrared imaging to generate, classify, and identify scenes in real-time with minimum constraints. Such system and methods may be used to improve operations of existing search and rescue equipment.