Patent classifications
H04N23/632
System and method for providing dominant scene classification by semantic segmentation
A method for computing a dominant class of a scene includes: receiving an input image of a scene; generating a segmentation map of the input image, the segmentation map being labeled with a plurality of corresponding classes of a plurality of classes; computing a plurality of area ratios based on the segmentation map, each of the area ratios corresponding to a different class of the plurality of classes of the segmentation map; and outputting a detected dominant class of the scene based on a plurality of ranked labels based on the area ratios.
REMOTE INSPECTION AND APPRAISAL OF BUILDINGS
A building appraisal system conducted by a remote inspector located away from a building. A remote user connected to a user on site can share images, measurements and other data to conduct an examination of the building such as an appraisal. A processor coupled to an image sensor can be configured to receive a gross floor area of the building. Images of an interior room of the building are stored in memory. The processor determines a planar surface in the images corresponding to a floor surface of the interior room and a plurality of corners in the images forming vertices of a bounded floor area on the floor surface. The processor can compute an adjusted floor area of the building that includes the bounded floor area subtracted from the gross floor area.
Imaging plan presentation apparatus and method for updating and re-generating an imaging plan
Provided are an imaging plan presentation apparatus and method capable of presenting an imaging plan to a user in accordance with conditions of images necessary for checking and an imaging range in a captured image. After an imaging unit (14) completes imaging, an imaging plan update unit (15) determines whether an uncaptured area has been identified by an uncaptured-area identification unit (151). If Yes is obtained, the imaging plan update unit (15) updates the imaging plan on the basis of the uncaptured imaging range, and re-generates an imaging plan corresponding to the uncaptured imaging range. Then, an imaging plan presentation unit (13) presents an imaging range to be captured next to a user on the basis of the re-generated imaging plan.
PHOTOGRAPHING METHOD AND ELECTRONIC DEVICE
A photographing method applied to an electronic device includes: when a camera of the electronic device is started to perform photographing, the electronic device displays a first viewfinder frame, and displays a first preview picture. When a zoom magnification used by the electronic device increases to be greater than a preset zoom magnification, the electronic device displays the first viewfinder frame and a second viewfinder frame. The first viewfinder frame displays a second preview picture, and the second viewfinder frame displays a third preview picture, and a viewfinder range of the camera corresponding to the third preview picture is greater than a viewfinder range of the camera corresponding to the second preview picture.
VIDEO PROCESSING METHOD, TERMINAL DEVICE AND STORAGE MEDIUM
Provided are a video processing method, a terminal device and a storage medium. The video processing method includes: adding a first video capturing window in a video capturing interface and adjusting a frame of the first video capturing window in response to a first user operation (S101); capturing a first original video (S102); cropping the first original video according to the frame of the first video capturing window to obtain a first target video corresponding to the first video capturing window (S103). The frame of the video capturing window can be freely adjusted according to requirements of a user, which is beneficial to a video in emotion rendering, atmosphere building and subject highlighting, thereby improving user experience.
SHOOTING METHOD AND APPARATUS, AND ELECTRONIC DEVICE AND STORAGE MEDIUM
A shooting method includes the following steps. A current display page is displayed and controls in a control region of the current display page are also displayed, where the controls includes a main shooting control and at least two special effect controls; when a target slide operation acting on a main display region of the current display page is received, each control is controlled to move; when the target control is the special effect control, a shooting page and a preview effect of a target shoot special effect are displayed on the shooting page, and when a first trigger operation acting on the trigger position is detected, shooting is performed by using the target shooting special effect; and when the target control is the main shooting control, the shooting page is displayed, and when a second trigger operation acting on the trigger position is detected, the shooting is performed.
HEAD-MOUNTED ELECTRONIC VISION AID DEVICE AND AUTOMATIC IMAGE MAGNIFICATION METHOD THEREOF
Disclosed in the present invention is a head-mounted electronic vision aid device and an image magnification method thereof. The head-mounted electronic vision aid device comprising a memory unit, a processing unit, an image zooming unit, and at least one ranging unit; the ranging unit being configured to obtain distance data between a target object of interest to a user and the device and/or three-dimensional profile data of the object and output the data to the processing unit; the memory unit stores a correspondence table between the distance data and the magnification of the image zooming unit; the processing unit confirms the target object of interest to the user, performs operations on the distance data and/or the three-dimensional profile data of the object, and outputs an magnification matching the distance data to the image zooming unit according to the correspondence table; and the image zooming unit can automatically adjust to the matching magnification. For visually impaired users, accurate, intuitive and rapid automatic magnification of the target objects of interest can be realized on demand. Compared with the prior art, the repeated and tedious manual adjustment is avoided, and the user experience is greatly improved.
ELECTRONIC DEVICE AND TIME-LAPSE IMAGE GENERATION METHOD OF ELECTRONIC DEVICE
An electronic device includes a display; a camera; a memory; and a processor operatively connected to the display, the camera, and the memory where the memory stores instructions which, when executed, enable the processor to determine a number of at least one source frame per unit second based on a specified maximum exposure time, receive light reflected from an external object by using the camera, for an exposure time determined according to a specified exposure value, generate source frames based on the received light, and generate a time-lapse image including at least one target frame indicating movement of the external object based on source frames, and the instructions cause the processor to generate the source frames at a speed different from a speed at which the time-lapse image including the at least one target frame is played.
IMAGE SPECIAL EFFECT PROCESSING METHOD AND APPARATUS
The present disclosure discloses an image special effect processing method and apparatus, an electronic device and a computer-readable storage medium. The method includes: in response to an instruction for adding a special effect object on an initial image, determining a target display region of the special effect object on the initial image, where the target display region is a foreground region or a background region of the initial image, the foreground region is an image region where a target object is located in the initial image, and the background region is an image region other than the foreground region in the initial image; and displaying a part of the special effect object located in the target display region on the initial image to obtain a target image.
DETERMINING IMAGE SENSOR SETTINGS USING LIDAR
Methods and devices related to determining image sensor settings using LiDAR are described. In an example, a method can include receiving, at a processing resource via a LiDAR sensor, first signaling indicative of location data, elevation data, and/or light energy intensity data associated with an object, receiving, at the processing resource via an image sensor, second signaling indicative of data representing an image of the object, generating, based at least in part on the first signaling, additional data representing a frame of reference for the object, transmitting to a user interface third signaling indicative of the data representing the frame of reference for the object and the data representing the image of the object, and displaying, at the user interface and based at least in part on the third signaling, another image that comprises a combination of the frame of reference and the data representing the image.