Systems and methods for improved operations of ski lifts increase skier safety at on-boarding and off-boarding locations by providing an always-on, always-alert system that “watches” these locations, identifies developing problem situations, and initiates mitigation actions. One or more video cameras feed live video to a video processing module. The video processing module feeds resulting sequences of images to an artificial intelligence (AI) engine. The AI engine makes an inference regarding existence of a potential problem situation based on the sequence of images. This inference is fed to an inference processing module, which determines if the inference processing module should send an alert or interact with the lift motor controller to slow or stop the lift.

A video signal processing device including a video signal dividing unit that divides a video signal into first to k-th division video signals (k is an integer of 2 or more) for each frame; a video change detecting unit that detects, for each of the first to k-th division video signals, whether or not there has occurred a change in the video signal between the frames, and generates first to k-th video change detection signals representing the detection results; and a video no-change determining unit that generates a video no-change signal indicating that there is no change in the video signal when the number of video change detection signals indicating that there is no change among the first to k-th video change detection signals is greater than a predetermined number.

A cross-domain image comparison method and a cross-domain image comparison system are provided. The cross-domain image comparison method includes the following steps. Two videos in cross-domain are obtained. The videos are generated by different types of devices. A plurality of semantic segmentation areas are obtained from one frame of each of the videos. A region of interest pair (ROI pair) is obtained according to moving paths of the semantic segmentation areas in the videos. Two bounding boxes and two central points of the ROI pair are obtained. A similarity between the frames is obtained according to the bounding boxes and the central points.

The system and method of the present invention identify an environment or a location out of a sequence of information received in a video format. The invention provides a learning system and therefore the more videos that are received, relating to a specific environment/location, the more accurate the identification will be when a different image is later analyzed, including the ability to identify the environment/location seen from different viewpoint and angles.

The present disclosure provides a video data processing method and device, and a readable storage medium, where the technical means is adopted which includes: processing, according to a preset trained deep learning algorithm model, input video data to be processed, to obtain a label vector of the video data; determining, according to a label vector of each music data in a music library and a preset recommendation algorithm, a recommendation score of the label vector of each music data with respect to the label vector of the video data; and taking, according to the each recommendation score, the music data matching the video data as background music. By means of the above, and further a deep learning algorithm model and a recommendation algorithm, the data processing efficiency of finding the background music of the video data in the music library is effectively improved, and the labor cost is reduced.

A video display method includes: displaying an initial video on a user interface in a first display mode; and displaying, in response to a video display mode of the user interface being switched from the first display mode to a second display mode, a target video associated with the initial video on the user interface in the second display mode, the first display mode and the second display mode having different video content display directions, and the target video including at least part of video content of the initial video.

Provided are a transition type determination method, an electronic device and a storage medium. The method includes: acquiring a picture matching degree of a candidate transition type with a transition position between two adjacent video clips, and acquiring a music matching degree of the candidate transition type; determining, based on the acquired image matching degree and the acquired music matching degree, a matching degree of the candidate transition type at the transition position; and determining, according to the matching degree, whether to determine the candidate transition type as a target transition type, where the target transition type is used for a transition effect between the two adjacent video clip.

The present application provides a method of processing a video, a method of querying a video, and a method of training a video processing model. A specific implementation solution of the method of processing the video includes: extracting, for a video to be processed, a plurality of video features under a plurality of receptive fields; extracting a local feature of the video to be processed according to a video feature under a target receptive field in the plurality of receptive fields; obtaining a global feature of the video to be processed according to a video feature under a largest receptive field in the plurality of receptive fields; and merging the local feature and the global feature to obtain a target feature of the video to be processed.

A method, system and product for compressing a video frame. The method comprising: obtaining a video frame that comprises at least a first area of interest; determining at least the first area of interest based on a portion of an object displayed therein; determining at least a portion of the frame based on at least the first areas of interest; determining at least a first processing channel based on at least the first areas of interest, wherein first processing channel comprises at least a first actions, wherein the first processing action is associated with at least one processing action parameters; and processing at least the first portion by utilizing at least the first processing channels, whereby an alternative video frame can be constructed based on at least a first processed portions of the video frame.

There is disclosed a method of creating a template of original video content, which is performed on a computer device that has access to a previously generated database of original video content. The method comprises receiving identifiers for at least a portion of an original video content; extracting at least a portion of metadata of the original video content; extracting at least a portion of frames from a sequence of frames of the original video content; identifying a sequence of scenes; creating a vector of the sequence of scenes; generating a template of the original video content that includes at least the portion of the metadata, and a vector of the sequence of scenes of the original video content; and storing the template in a database.