Method, device and system for video transmission

Abstract

The invention provides a method, a device and a system for video transmission. The method comprises the following steps of: extracting scene-based movement intensity characteristic information from video data, and determining the scene-based movement intensity of the video data; according to packet loss rate information fed back by a receiving end and the scene-based movement intensity of the video data, determining the packet loss rate and the type of the lost packet when the scene-based video data are transmitted; and according to the determined packet loss rate and type of the lost packet when the scene-based video data are transmitted, transmitting the scene-based video data. The method, the device and the system can effectively lower computing complexity, control the network congestion more effectively, avoid aimless packet loss caused when a large amount of data are transmitted under a condition of network congestion, control the quality of each video stream even if a plurality of paths of video streams are transmitted at the same time, and further improve the video playing quality at the same time while realizing the effective control of the network congestion.

Description

technical field [0001] The invention relates to the field of streaming media transmission, in particular to a method, device and system for transmitting video in a network. Background technique [0002] With the continuous development of network technology, video transmission over the network has become more and more popular. For example, people can watch movies online, conduct video communication, etc. on the Internet. However, since the transmission of video data consumes a large amount of network bandwidth, it is inevitable that network congestion will occur, which will lead to a decrease in transmission quality and affect the playback effect of the video. [0003] In order to solve the above problems, the currently adopted technical solution is to use motion activity descriptors to improve the quality of video transmission in the network. For example, after the original video signal is segmented, the neural network model is used to extract the motion activity feature, ...

AI Technical Summary

Problems solved by technology

However, for a video stream with a specific level of motion activity, the quality may drop greatly, and the viewing effect at the receiving end cannot be guaranteed; moreover, the extraction of motion activity features for each shot is complex and heavy.

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