A scanning camera for capturing a set of images along a curved scan path on an object plane within an area of interest, each image of the set of images associated with a viewing angle and a viewing direction relative to the object plane, the scanning camera comprising an image sensor; a lens; a scanning mirror; and a drive coupled to the scanning mirror; wherein the drive is operative to rotate the scanning mirror about a spin axis according to a spin angle; the spin axis is tilted relative to a camera optical axis; the scanning mirror is tilted relative to both the camera optical axis and the spin axis and positioned to reflect an imaging beam into the lens, a viewing angle and a viewing direction of the imaging beam relative to the object plane varying with the spin angle; the lens is positioned to focus the imaging beam onto the image sensor; and the image sensor is operative to capture each image by sampling the imaging beam at a value of the spin angle corresponding to the viewing angle and the viewing direction of the image.

Systems, methods, and non-transitory computer-readable media can determine training data describing respective relationships between a set of map tiles, the map tiles collectively representing a given geographic region. A model can be trained to predict a likelihood of a pair of map tiles corresponding to one or more geographic classifications based at least in part on the training data. Polygons that correspond to respective sub-regions within the geographic region can be determined based at least in part on the model.

Systems and methods for analyzing, segmenting, and classifying multimedia material are disclosed herein. Embodiments include (i) receiving multimedia material for analysis, (ii) extracting elements from the multimedia material and forming objects comprising the elements; (iii) segmenting the multimedia material into segments, where individual segments include objects located within a threshold distance from each other; (iv) detecting objects within each segment; (v) associating attributes with the detected objects within the segments; (vi) annotating the segments by creating a relationship tree among the objects within each segment; and (vii) storing annotations of the segments for analysis.

Apparatus for an automatic identification of medically relevant video elements, the apparatus comprising a data input, configured to receive a data stream of image slices, wherein the data stream of image slices represents a temporal course of a view of image slices defined by a masking strip of video images from a video which has been recorded during a medical surgery on a patient an analysis apparatus configured to analyze the data stream of image slices via an analysis comprising at least one predefined analysis step for the presence of at least one sought-for feature and to output a result of the presence, and a processing device configured to output a start mark which indicates a correspondence between the presence and a position in the data stream of image slices if the result indicates the presence of the sought-for feature. Also, a corresponding method is disclosed.

Embodiments of the present disclosure provide a method and apparatus for detecting a license plate. The method comprises: obtaining, according to pixel values of pixels in an image to be detected, a candidate license plate area M.sub.1 in the image to be detected (S101); calculating an aspect ratio of the candidate license plate area M.sub.1 and determining if the aspect ratio is greater than a first predefined threshold (S102); determining, if the aspect ratio is greater than the first predefined threshold, a new candidate license plate area M.sub.2 from the candidate license plate area M.sub.1 according to a predefined machine learning-based regression algorithm (S103); determining, according to a first predefined classification model, whether the candidate license plate area M.sub.2 is a license plate area (S104); determining, if the candidate license plate area M.sub.2 is a license plate area, the candidate license plate area M.sub.2 as a license plate area, and generating a detection result based on the candidate license plate area M.sub.2 (S105). The application of the solution improves the accuracy of license plate detection.

An apparatus includes a display control unit, a receiving unit, an adjusting unit, and a determination unit. The display control unit is configured to display an image showing a result of detection of a defect from a captured image of a structure on a display device. The receiving unit is configured to receive an operation to specify part of the displayed image as a first region and an operation to give an instruction to correct at least part of the detection data corresponding to the first region. The adjusting unit is configured to adjust a parameter to be applied to the first region according to the instruction. The determination unit is configured to determine one or more second regions to which the adjusted parameter is to be applied from a plurality of segmented regions of the image.

A computing device of a first vehicle may receive a first image and a second image of a second vehicle having flashing light signals. The computing device may determine, in the first image and the second image, an image region that bounds the second vehicle such that the image region substantially encompasses the second vehicle. The computing device may determine a polar grid that partitions the image region in the first image and the second image into polar bins, and identify portions of image data exhibiting a change in color and a change in brightness between the first image and the second image. The computing device may determine a type of the flashing light signals and a type of the second vehicle; and accordingly provide instructions to control the first vehicle.

Systems and methods for detecting document contours in a digital image. An example method may involve: receiving an image comprising one or more documents and detecting a set of lines in the image; identifying a plurality of intersection points corresponding to the set of lines; determining a vanishing point based on the plurality of intersection points; generating a candidate polygon based on the set of lines; evaluating the candidate polygon based on a parameter associated with the vanishing point; and indicating the candidate polygon represents a contour of one of the one or more documents.

A vending machine recognition apparatus includes: a receiving unit configured to receive a captured image obtained by capturing an image of a vending machine; and a recognition unit configured to recognize merchandise from the captured image and recognize a price of the merchandise from a peripheral image region of an image region of the recognized merchandise.

Apparatus for an automatic identification of medically relevant video elements, the apparatus including a data input, configured to receive a data stream of image slices, wherein the data stream of image slices represents a temporal course of a view of image slices defined by a masking strip of video images from a video which has been recorded during a medical surgery on a patient an analysis apparatus configured to analyze the data stream of image slices via an analysis including at least one predefined analysis step for the presence of at least one sought-for feature and to output a result of the presence, and a processing device configured to output a start mark which indicates a correspondence between the presence and a position in the data stream of image slices if the result indicates the presence of the sought-for feature. Also, a corresponding method is disclosed.