Abstract: In one aspect, a method includes receiving a first portion of query fingerprint data representing content transmitted by a content-distribution system. The method also includes detecting a match between the first portion of the query fingerprint data and a first portion of reference fingerprint data representing a modifiable content-segment. The method also includes after detecting the match: (i) receiving a second portion of the query fingerprint data, wherein the second portion of the query fingerprint data is different from the first portion of the query fingerprint data; and (ii) detecting a mismatch between the second portion of the query fingerprint data and a second portion of the reference fingerprint data representing the modifiable content-segment, wherein the second portion of the reference fingerprint data is different from the first portion of the reference fingerprint data. The method also includes responsive to detecting the mismatch, performing an action.

Abstract: A device, system and method for generating an alert and an automatic search for a candidate subject is provided. The device monitors one or more data sources to identify a candidate subject. The device determines, from rules for rating candidate subjects stored in a memory, a rating of the candidate subject. When the rating meets a first threshold: the device transmits, to one or more communication devices, an alert identifying the candidate subject. When the rating meets a second threshold, lower than the first threshold: the devices provides, a classifier defining the candidate subject to an object recognition engine to cause the object recognition engine to automatically search for the candidate subject, using the classifier, in multimedia data received at one or more edge devices. The multimedia data may include images.

Abstract: In a method of processing an image formed of pixels, skin tone pixels in the image are detected. Local sharpening is applied to at least some of the skin tone pixels. The image is regenerated using the locally sharpened skin tone pixels.

Abstract: A method and apparatus for detecting a temporal action of a video, an electronic device and a storage medium are disclosed, which relates to the field of video processing technologies. An implementation includes: acquiring an initial temporal feature sequence of a video to be detected; acquiring, by a pre-trained video-temporal-action detecting module, implicit features and explicit features of a plurality of configured temporal anchor boxes based on the initial temporal feature sequence; and acquiring, by the video-temporal-action detecting module, the starting position and the ending position of a video clip containing a specified action, the category of the specified action and the probability that the specified action belongs to the category from the plural temporal anchor boxes according to the explicit features and the implicit features of the plural temporal anchor boxes.

Abstract: Methods and systems provide for search results within segmented communication session content. In one embodiment, the system receives a transcript and video content of a communication session between participants, the transcript including timestamps for a number of utterances associated with speaking participants; processes the video content to extract textual content visible within the frames of the video content; segments frames of the video content into a number of contiguous topic segments; determines a title for each topic segment; assigns a category label for each topic segment; receives a request from a user to search for specified text within the video content; determines one or more titles or category labels for which a prediction of relatedness with the specified text is present; and presents content from at least one topic segment associated with the one or more titles or category labels for which a prediction of relatedness is present.

Abstract: The disclosure is inputting a first image obtained by capturing an object of authentication moving in a specific direction; inputting a second image at least for one eye obtained by capturing a right eye or a left eye of the object; determining whether the second image is of the left eye or the right eye of the object, based on information including the first image, and outputting a determination result associated with the second image as left/right information; comparing characteristic information relevant to the left/right information, the characteristic information being acquired from a memory that stores the characteristic information of a right eye and a left eye pertaining to object to be authenticated, with characteristic information associated with the left/right information, and calculating a verification score; and authenticating the object captured in the first image and the second image, based on the verification score, and outputting an authentication result.

Abstract: An apparatus of this invention is directed to an information processing apparatus that effectively counts, on a type basis, articles of a plurality of types displayed in a depth direction on a display shelf. The information processing apparatus includes a display count acquirer that acquires display count information of articles using article presence/absence sensors provided on the display shelf on which the articles are placed, an article identifier that acquires article identification information capable of identifying the types of articles based on an image acquired by capturing the display shelf, and a display recognizer that recognizes, based on the display count information and the article identification information, display count of each type of the articles.

Abstract: A novel disparity computation technique is presented which comprises multiple orthogonal disparity maps, generated from approximately orthogonal decomposition feature spaces, collaboratively generating a composite disparity map. Using an approximately orthogonal feature set extracted from such feature spaces produces an approximately orthogonal set of disparity maps that can be composited together to produce a final disparity map. Various methods for dimensioning scenes and are presented. One approach extracts the top and bottom vertices of a cuboid, along with the set of lines, whose intersections define such points. It then defines a unique box from these two intersections as well as the associated lines. Orthographic projection is then attempted, to recenter the box perspective. This is followed by the extraction of the three-dimensional information that is associated with the box, and finally, the dimensions of the box are computed. The same concepts can apply to hallways, rooms, and any other object.

Abstract: A method and apparatus are provided for fingerprint identification in the field of terminal technology. The method may include: when a touch operation for fingerprint identification is detected on a display screen, determining an acting area and a touch position of the touch operation on the display screen; and determining a fingerprint image corresponding to the touch operation and performing the fingerprint identification, when the acting area is greater than or equal to a first preset area threshold and the touch position is located in a preset identification region on the display screen.

Abstract: The present invention discloses a pedestrian trajectory prediction method and system based on a multi-interaction spatio-temporal graph network, which belong to the field of pedestrian trajectory prediction.

Abstract: The present disclosure relates to object detection and object distance determination by an assisted driving system of a vehicle. In one embodiment, a method includes receiving image data detected and detecting at least one object in the image data. Detecting includes determining a region of interest in the image, classifying the object and localizing the region of interest in the image data. The method may include determining a distance value for the at least one object, wherein the distance determination is determined based on the category determined, localization of the region of interest, and object size relative to the image data. The method may include outputting a distance value determination for the at least one object.

Abstract: Some embodiments are directed to a biometric authentication system including headwear having a plurality of biosensors each configured to sample muscle activity so as to obtain a respective time-varying signal, a data store for storing a data set representing characteristic muscle activity for one or more users, and a processor configured to process the time-varying signals from the biosensors in dependence on the stored data set so as to determine a correspondence between a time-varying signal and characteristic muscle activity of one of the one or more users, and in dependence on the determined correspondence, authenticate the time-varying signals as being associated with that user.

Abstract: An apparatus for inspecting components may include a processor for: determining exterior information of a first component mounted on a first printed circuit board; inspecting a mounting state of the first component by using inspection information of a second component having a first similarity value, when the first similarity value is higher than or equal to a preset reference similarity value, and updating the inspection information of the plurality of components by using the inspection information of the first component matched with the inspection information of the second component, when it is determined that the mounting state of the first component is good.

Abstract: The invention relates to a papillary print sensor comprising an acquisition surface (14) extending over a length L, a light source (11) configured to emit a light pulse, a sheet (12) adapted to propagate light rays by reflection on the first face (12a) and the second face (12b), which defines a critical angle (?c), and an imager (13), wherein the thickness (e) of the sheet is less than a thickness emax=L/2×tan(?c), such that a first part of the light rays (20b, 20c) is propagated without reflection on the acquisition surface (14) while a second part of the light rays (20a, 20d) is reflected towards said acquisition surface (14) after reflection on the second face (12), and the imager (13) is configured to acquire a first image during the reception of the first part of the light rays and a second image during the reception of the second part of the light rays.

Abstract: In order to ensure that similarity is detected with high accuracy, regardless of the types of images constituting a group of images to be evaluated for similarity, the image processing device includes difference calculation means 11 for deforming one of two or more images constituting an image group in one or more deforming ways, and calculating a degree of difference between the deformed image and the other image or images in the image group for each pixel using multiple ways for similarity evaluation, normalization means 12 for normalizing each degree of difference by each of the multiple ways for similarity evaluation, and difference integration means 15 for integrating normalized degrees of difference.

Abstract: Apparatuses and methods are disclosed for generating a quantitative indication of the degree of oiliness of skin. In exemplary embodiments, a difference image generated from parallel- and a cross-polarized images of an area of skin is subjected to an intensity thresholding operation. An oiliness metric is generated based on the average intensity of those pixels whose intensities do not exceed the threshold, and/or on the average intensity of those pixels whose intensities exceed the threshold. An indication based on the metric is generated and output.

Abstract: A method of creating a parking facility map includes obtaining one or more images of a parking facility, generating an estimate map of parking spaces in the parking facility based at least on the one or more images (the estimate map of parking spaces includes a plurality of estimate parking space shapes), identifying a parking block that includes a cluster of estimate parking spaces among the plurality of estimate parking space shapes, determining a common geometric pattern among the cluster of estimate parking spaces, correcting geometrical features of one or more estimate parking spaces in the cluster of estimate parking spaces based at least in part on the common geometric pattern, identifying one or more gaps among the cluster of estimate parking space shapes, and determining a number of inserted parking spaces to fill the one or more gaps based at least in part on the common geometric pattern.

Abstract: A method for calculating a 3D representation of a vascular malformation of a vascular structure is provided. The method comprises: providing 2D X-ray image data of a vascular structure containing a contrast agent and having a vascular malformation, providing 3D image data of the vascular structure and transforming the 3D image data into transformed 2D image data, overlaying the 2D X-ray image data and the transformed 2D image data; calculating a correspondence between the 2D X-ray image data and the transformed 2D image data to determine a co-registration between the 2D X-ray image data and the 3D image data, determining in the co-registered 2D X-ray image data the vascular malformation, and calculating the 3D representation of the vascular malformation based on the determined vascular malformation of the co-registered 2D X-ray image data.

Abstract: For semiconductor inspection images, detection thresholds can be determined based on probability density functions at a pixel intensity. The detection thresholds can then be applied to an image. This can find outliers at a fixed probability at all pixel intensity levels by estimating the probability distribution of underlying data and adapting the detection threshold values. Laser power can be optimized based on the detection thresholds.

Abstract: Disclosed are computer-implemented methods, non-transitory computer-readable media, and systems for identity document face image quality recognition. One computer-implemented method includes pairing, for each user of a plurality of users and to form a pair of face images, an identity document (ID) face image and a live face image. For each pair of face images and based on a face similarity between the ID face image and the live face image, a similarity score for the ID face image is generated. Based on ID face images and similarity scores corresponding to the ID face images, a model for ID face image quality recognition is trained.