A system, computer-implemented method and non-transitory computer readable medium storing instructions for generating a two-dimensional (2D) map of an area of interest are provided. The system comprises a processor and memory storing instructions which when executed by the processor configure the processor to perform the method. The method comprises determining a perimeter of an area of interest, obtaining nadir images of the area of interest, obtaining at least one oblique image of the area of interest from at least one corner of the perimeter, and processing the nadir and oblique images together to form the 2D map of the area of interest.

Methods, devices, and systems for segmenting and annotating videos for analysis are disclosed. A user identifies specific moments of the video that provide a teachable moment. A pre-context and a post-context portion of the video surrounding the identified moment are used to create a tile video. One or more tile videos are compiled in a user-defined order to generate a weave video with a specific focus or theme. The generated weave video is shared with one or more users and can be annotated to facilitate teaching and/or discussion.

A camera system and method provide a trailing motion blur effect without the use of a flash. In one embodiment, a variable light-transmissive filter is positioned in front of an image sensor. While the light-transmissive property of the filter is lower, the blurred image of the object in motion is produced. The light-transmissive property of the filter is increased during the exposure in order to produce a clearer image of the object. In a method, a plurality of images taken in rapid succession are combined to produce a clear image of the object with a trailing blurred image of the object.

A vehicle control system including a spatial monitoring system includes on-vehicle cameras that capture images, from which are recovered a plurality of three-dimensional (3D) points. A left ground plane normal vector is determined for a left image, a center ground plane normal vector is determined for a front image, and a right ground plane normal vector is determined for a right image. A first angle difference between the left ground plane normal vector and the center ground plane normal vector is determined, and a second angle difference between the right ground plane normal vector and the center ground plane normal vector is determined. An uneven ground surface is determined based upon one of the first angle difference or the second angle difference, and an alignment compensation factor for the left camera or the right camera is determined. A bird's eye view image is determined based upon the alignment compensation factor.

A method of generating a time-lapse video includes: identifying an image storage mode; obtaining a first image; based on identifying that the image storage mode is an emphasis mode for emphasizing one or more images, obtaining a first time difference between the first image and a stored image, and a first feature value indicating a first amount of change between the first image and the stored image; for each respective image of a first plurality of images of a first image group stored in a memory, identifying a second image from among the first plurality of images, based on a second time difference and a second feature value; generating a second image group by removing the second image from the first image group and adding the first image to the first image group; and generating the time-lapse video by using a second plurality of images of the second image group.

An imaging apparatus includes an imaging element, and a processing portion that generates single image data by combining a plurality of pieces of image data output from the imaging element and outputs the generated single image data, in which the plurality of pieces of image data are image data generated by performing imaging accompanying A/D conversion of different reference levels, and the number of bits, in units of pixels, of the single image data output from the processing portion is greater than the number of bits of each of the plurality of pieces of image data in units of pixels.

A method for generating a synopsis video includes acquiring a target video and parameter data related to editing of the target video, wherein the parameter data comprises at least a duration parameter of a synopsis video of the target video; extracting a plurality of pieces of image data from the target video, and determining an image label of the image data, wherein the image label comprises at least a visual-type label; and determining a type of the target video, and establishing a target editing model for the target video according to the type of the target video, the duration parameter, and a plurality of preset editing technique submodels; and editing the target video according to the image label of the image data in the target video by using the target editing model to obtain the synopsis video of the target video

A microscope scanner is provided comprising a detector array for obtaining an image from a sample and a sample holder configured to move relative to the detector array. The sample holder can be configured to move to a plurality of target positions relative to the detector array in accordance with position control signals issued by a controller and the detector array is configured to capture images during an imaging scan based on the position control signals.

An electronic device and a controlling method thereof are provided. The electronic device includes a memory, a first camera including a first image sensor and at least one processor, and the at least one processor obtains a plurality of image frames by photographing surroundings of the electronic device through the first camera, sets a region of interest (ROI) on the plurality of image frames, obtains a motion identification map corresponding to each of the plurality of image frames and select at least one image frame from among the plurality of image frames based on the obtained motion identification map, identifies whether there is a motion of an object on the ROI set on the selected at least one image frame, and performs a Super Slow Motion (SSM) function through the first camera based on a result of the identification.

An image processing device includes an evaluation unit configured to evaluate whether a first region of a captured image satisfies a quality condition, and a composition frame setting unit configured to set a different composition frame in the captured image in accordance with an evaluation result of the first region.