13 results about "Slow motion" patented technology

The invention relates to the technical field of image communication, in particular to a video slow-action frame insertion playback system based on a generative adversarial network, which comprises a video signal acquisition module, a signal processing module, a frame rate conversion module and a playback code output module. The acquisition module outputs an original video frame sequence through an annular buffer; the processing module separates the denoised detail components and the edge gradient features in parallel; the frame rate conversion module uses a geometric structure as a boundary locking condition to guide detail components to execute nonlinear motion compensation and intermediate frame reconstruction; and the playback module executes time base remapping and distributed coding transmission. According to the invention, through a depth generation architecture of structural constraint textures, in combination with space-time consistency verification and a nearest neighbor pixel backfilling mechanism and a virtual time base rate decoupling technology, real-time slow-action video redisk with high signal-to-noise ratio and no artifacts for a high-speed moving target is realized.

The invention provides a slow action generation method based on motion focus area analysis. The method comprises the following steps: determining a video of a slow action to be generated; detecting a motion focus area in the video, and grading the motion focus area; and for different grades of motion focus areas, different strategies are adopted to carry out motion modeling and differential interpolation processing, and a slow motion frame sequence is generated. According to the invention, through identification and grading processing of the motion focus area, high-precision calculation of the core motion object, simplified calculation of the secondary area and simplest processing of the static background, compared with a traditional scheme of uniform and dense calculation of the whole frame, the method has the advantages of high calculation complexity and lower calculation amount, and guarantees the visual effect of the core area.

This invention discloses a weakly supervised video temporal action localization method based on slow-motion enhancement, which consists of a slow-motion correlation mining module and a localization module. The slow-motion correlation mining module takes fused video features as input and outputs a slow-motion correlation mask. The localization module takes the slow-motion correlation mask output by the slow-motion correlation mining module as input and generates slow-motion enhancement features. Then, using the slow-motion enhancement features and fused video features as input, a two-stream branch localization network is used to finally generate the temporal action localization result.

The application discloses a motion sensing game method and device based on hand waving, equipment and a computer readable storage medium. The motion sensing game method based on hand waving comprises the following steps: after starting the motion sensing game, acceleration data in horizontal direction or vertical direction is obtained from a bound motion sensing device; the motion path of a game object in the motion sensing game is determined according to the acceleration data; the displacement instruction of the game object is generated according to the acceleration data and a preset slow motion function; and the game object is controlled to move along the motion path in a nonlinear mode according to the displacement instruction. The motion sensing game method based on hand waving can provide more real, smooth and flexible user experience, and has better playability and game performance.

The invention discloses a video processing method and device, electronic equipment and a computer readable storage medium. The video quality and the video effect of a slow action video can be achieved. The method comprises the following steps: under the condition that video acquisition is started, storing an original video stream of a first frame rate into a target storage space through a target transmission channel by an image sensor; after acquisition is completed, performing frame insertion processing on the original video data at a second frame rate, and determining intermediate video data; the second frame rate is greater than the first frame rate; encoding the intermediate video data at a target encoding frame rate, and determining a target video; the target coding frame rate is smaller than the second frame rate.

This application provides a video processing method and an electronic device. The shooting environment of the electronic device includes a first strobe source with a flash period of a first period. The method includes: launching a camera application; displaying a first preview interface; receiving a first instruction input by a user based on the first preview interface, the first instruction indicating that the shooting mode be set to a first mode, the target recording frame rate corresponding to the first mode being a first recording frame rate; and, in response to the first instruction, displaying a second preview interface if the reciprocal of the first recording frame rate is less than the first period, the second preview interface including first video data obtained based on a first exposure time and a second recording frame rate, wherein the first exposure time is equal to the first period, the second recording frame rate is less than the first recording frame rate, and the reciprocal of the second recording frame rate is greater than or equal to the first period. This method can improve the quality of slow-motion videos.

The application relates to the technical field of image communication, in particular to a video slow-motion frame insertion playback system based on a generative adversarial network, which comprises a video signal acquisition module, a signal processing module, a frame rate conversion module and a playback encoding output module. The acquisition module outputs an original video frame sequence through a ring buffer; the processing module parallelly separates a detail component after denoising and an edge gradient feature; the frame rate conversion module uses a geometric structure as a boundary locking condition, guides the detail component to execute nonlinear motion compensation and intermediate frame reconstruction; and the playback module executes time base remapping and distributed encoding transmission. Through a structure constraint texture depth generation architecture, in combination with a space-time consistency check and a nearest neighbor pixel backfilling mechanism and a virtual time base rate decoupling technology, the application realizes real-time slow-motion video review for high-speed moving targets with high signal-to-noise ratio and no artifacts.

The invention discloses a real-time high-multiple slow-action generation method and system for an ultra-high-definition video, and the method comprises the steps: cooperatively generating an intermediate frame through a dynamic scheduling strategy in combination with an optical flow algorithm and a frame mixing algorithm, caching an original video frame, and carrying out the real-time high-multiple slow-action generation according to a target slow-action multiple and a playing frame rate. The method comprises the following steps: dynamically determining the number and position of intermediate frames which need to be generated by an optical flow algorithm and a frame mixing algorithm, executing the optical flow algorithm by utilizing GPU parallel computing to generate high-quality intermediate frames, efficiently supplementing other intermediate frames by utilizing the frame mixing algorithm, and finally combining and outputting all the frames in sequence. Through an intelligent scheduling algorithm, on the premise that the picture fluency is guaranteed, the processing efficiency is remarkably improved, and high-multiple high-quality real-time slow action generation of the 4K / 8K ultra-high-definition video is achieved.

A compensating timer system and method utilizable with video data featuring sections of different playback or recording speeds. The compensating timer system can be utilized with a user interface associated with and displayable thereon. The user interface can include a video display region configured or configurable to display video data, and an animated time indicator. The animated time indicator can be dependent on a modified playing speed of the video data that changes between different first and second speed rates. The first speed rate can be changed to the second speed rate upon receipt of an input associated with an affordance, by modifying at least one frame in the video data. This allows for continuous recording and / or displaying of video at different speed rates without altering operations or settings. The animated time indicator can be an animated affordance, an animated progress bar, an elapsed timer and / or a time remaining clock.

This application relates to a video generation method, apparatus, computer device, and storage medium. The method includes: acquiring a first video stream captured by a main camera at a first frame rate, and a first event stream output by an event camera in a first acquisition mode; obtaining an event density based on the first event stream; if the event density meets a preset condition, controlling the event camera to switch to a second acquisition mode and acquiring a second event stream output by the event camera; and obtaining a second video stream based on the first video stream and the second event stream. This method enables low-power, long-duration, ultra-high frame rate slow-motion video generation.

This invention discloses an adaptive temporal modeling-driven method and medium for human pose estimation in motion scenes. It constructs a 3D human pose estimation network model for motion scenes based on the speed of motion, utilizing physical constraint-based motion priors and the uncertainty of predicting 3D human joints to improve the model's robustness to motion scenes. Using human motion videos at different speeds as input, it first obtains the corresponding 2D human joint sequence based on an existing high-quality 2D human pose estimation model. This 2D human joint sequence is then input into the network model to obtain a trained model. This invention can adaptively adjust the receptive field according to the motion speed, using a small receptive field to capture instantaneous changes in fast motion and a large receptive field to capture long-term dependencies in slow motion, thus adapting to different motion speeds and improving the accuracy of human pose estimation in motion scenes at different speeds.

A method comprises receiving one or more indications corresponding to one or more derivative video files. Each derivative video file of the one or more derivative video files has a different frame rate. The method further comprises selecting an indication of a derivative video file with a corresponding derivative video frame rate. The method further comprises receiving the derivative video file and an original video frame rate. The method further comprises determining a playback frame rate to slow a derivative video of the derivative video file using a desired frame rate, the derivative video frame rate, and the original video frame rate. The method further comprises displaying the derivative video at the determined playback frame rate.