Multi-screen video synchronization method and synchronization system

By detecting and correcting the time deviation of video frames, using neural network models to achieve accurate synchronous playback of multi-screen videos, the problems of low synchronization accuracy and poor adaptability in the prior art are solved, and the effect of video synchronization is improved.

CN118803335BActive Publication Date: 2024-12-31SICHUAN GUANGXIN TIANXIA MEDIA CO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202411096974.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-08-12
Publication Date
2024-12-31
Estimated Expiration
2044-08-12

AI Technical Summary

Technical Problem

In multi-screen video synchronization scenarios, it is difficult for the prior art to realize accurate synchronous playback of video streams, especially in complex network environments and large-scale video stream processing, there are problems such as high computational complexity, low synchronization accuracy and poor adaptability.

Method used

By obtaining the first time series and the second time series of the video frame sequence, time deviation detection and prediction are performed, and bias prediction and correction are used to use the pre-trained neural network model to ensure that the video frames are played synchronously in the temporal order of the same playback window.

Benefits of technology

It realizes seamless and precise synchronous playback of multi-screen video content, improves the accuracy and adaptability of video synchronization, and ensures the comfort of multi-screen video viewing and the expressiveness of video content.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN118803335B_ABST
    Figure CN118803335B_ABST
Patent Text Reader

Abstract

The present invention provides a multi-screen video synchronization method and synchronization system, which relates to the field of video processing technology, including obtaining time series by decoding multiple video streams, intelligently detecting and predicting time deviations, and accurately correcting deviations using a pre-trained neural network model to ensure the synchronization accuracy of each video stream. The method includes: obtaining the decoded time series of video frames, detecting and predicting time points that do not meet preset deviations, correcting deviations based on predicted values, integrating the corrected time series, and realizing accurate splicing and synchronous playback of video frames. The present invention realizes seamless and accurate synchronous playback of multi-screen video content through efficient time deviation detection, intelligent deviation prediction and correction, and accurate time series integration and video frame splicing.
Need to check novelty before this filing date? Find Prior Art