A video processing apparatus includes a video analyzer that analyzes video data captured by a surveillance camera, detects an event belonging to a specific category, and outputs a detection result, a display controller that displays, together with a video of the video data, a category setting screen for setting a category of an event included in the video, and a learning data accumulator that accumulates, as learning data together with the video data, category information set in accordance with an operation by an operator to the category setting screen. The video analyzer performs learning processing by using the learning data accumulated in the learning data accumulator.

A video processing apparatus includes a video analyzer that analyzes video data captured by a surveillance camera, detects an event belonging to a specific category, and outputs a detection result, a display controller that displays, together with a video of the video data, a category setting screen for setting a category of an event included in the video, and a learning data accumulator that accumulates, as learning data together with the video data, category information set in accordance with an operation by an operator to the category setting screen. The video analyzer performs learning processing by using the learning data accumulated in the learning data accumulator.

This application relates to a computer vision technology in the field of artificial intelligence. A video shooting method includes: enabling a camera application on a terminal (for example, a mobile phone); and in a slow-motion video recording mode of the camera application, when a motion detection function of the camera application is enabled: starting to capture video frames after a video recording instruction input by a user is detected; recording a second video frame set at a first frame rate automatically when a motion of a human body in a captured first video frame set is a preset motion; and generating a target video, wherein the target video includes a slow-motion video clip, and the slow-motion video clip includes some video frames in the second video frame set. When the motion of the human body is a first preset motion, duration for playback of the slow-motion video clip at a first playback speed is first duration; when the motion of the human body is a second preset motion, the duration for playback of the slow-motion video clip at the first playback speed is second duration; the first preset motion is different from the second preset motion; and the first duration is different from the second duration.

This application relates to a computer vision technology in the field of artificial intelligence. A video shooting method includes: enabling a camera application on a terminal (for example, a mobile phone); and in a slow-motion video recording mode of the camera application, when a motion detection function of the camera application is enabled: starting to capture video frames after a video recording instruction input by a user is detected; recording a second video frame set at a first frame rate automatically when a motion of a human body in a captured first video frame set is a preset motion; and generating a target video, wherein the target video includes a slow-motion video clip, and the slow-motion video clip includes some video frames in the second video frame set. When the motion of the human body is a first preset motion, duration for playback of the slow-motion video clip at a first playback speed is first duration; when the motion of the human body is a second preset motion, the duration for playback of the slow-motion video clip at the first playback speed is second duration; the first preset motion is different from the second preset motion; and the first duration is different from the second duration.

A method performed by an electronic device for generating a slow motion video includes obtaining plural image frames captured at a frame rate from a camera of the electronic device, detecting motion information in a first image frame from among the plural image frames, and performing an interpolation operation using one or more image frames from among the plural image frames. The one or more image frames are image frames obtained during a predetermined time after the first image frame in which the motion information is detected. A second image frame obtained before the first image frame in which the motion information is detected is discarded from the electronic device. A third image frame obtained after the predetermined time from the first image frame in which the motion information is detected is discarded from the electronic device.

A method performed by an electronic device for generating a slow motion video includes obtaining plural image frames captured at a frame rate from a camera of the electronic device, detecting motion information in a first image frame from among the plural image frames, and performing an interpolation operation using one or more image frames from among the plural image frames. The one or more image frames are image frames obtained during a predetermined time after the first image frame in which the motion information is detected. A second image frame obtained before the first image frame in which the motion information is detected is discarded from the electronic device. A third image frame obtained after the predetermined time from the first image frame in which the motion information is detected is discarded from the electronic device.

A video processing apparatus includes a video analyzer that analyzes video data captured by a surveillance camera, detects an event belonging to a specific category, and outputs a detection result, a display controller that displays, together with a video of the video data, a category setting screen for setting a category of an event included in the video, and a learning data accumulator that accumulates, as learning data together with the video data, category information set in accordance with an operation by an operator to the category setting screen. The video analyzer performs learning processing by using the learning data accumulated in the learning data accumulator.

A monitoring information recording apparatus according to one aspect, includes a recording processing unit configured to record, in a case that monitoring information including-at least one of a captured image of a monitoring target and a measurement value calculated based on the captured image meets a predetermined criterion, the monitoring information in a first mode. The recording processing unit, records, in a case that the monitoring information has not been recorded in the first mode for a predetermined period of time or longer, the monitoring information in the first mode regardless of whether the above criterion is met or not.

The present disclosure includes a method and device for recording and transmitting courseware, an interactive white board and a storage medium, where the recording method includes recording a page identifier of the courseware, user audio data and user behavior data in the recording process; responsive to receiving an instruction for triggering the closing of the courseware recording function, mapping time points of recording the recorded page identifier of the courseware, user audio data and user behavior data to a timeline of the recording process, and based on the timeline, storing the courseware, the user audio data and the user behavior data in relation each other to generate a recording file of the recording process.

Video information may define spherical video content having a duration. Spherical video content may define visual content viewable from a point of view as a function of progress through the spherical video content. Path information may define a path selection for the spherical video content. Path selection may include movement of a viewing window within the spherical video content. The viewing window may define extents of the visual content viewable from the point of view as the function of progress through the spherical video content. Time lapse parameter information may define at least two of a time portion of the duration, an image sampling rate, and a time lapse speed effect. A time lapse video may be generated based on the video information, the path information, and the time lapse parameter information.