Video transcoding and transmission control system based on self-assessment of network status

Abstract

The video encoding conversion and transmission control system based on network status self-assessment provided by this application aims at the problems that the network evaluation algorithm only relies on the packet loss rate to judge the network status, the judgment division is too rough, and the basis for video transmission rate adjustment is limited. A method that combines packet loss rate, network delay, and delay jitter as elements of network state evaluation, making the evaluation of network state more scientific and accurate; for the problem that effective pre-control measures cannot be taken when the network is overloaded but not yet overloaded , the network overload pre-control method is added, and the timing is clever to deal with the network overload problem; in view of the problem that the network overload is too serious and the simple adjustment of the encoding parameters can no longer control the overload, a non-key frame active discarding method is proposed, which not only ensures the video Quality, the transmission quality is guaranteed, and the frame loss strategy is implemented before encoding, which reduces the workload of encoding and is more robust and efficient.

Description

technical field [0001] The present application relates to a video code conversion transmission control system, in particular to a video code conversion transmission control system based on network state self-assessment, and belongs to the technical field of video code conversion transmission. Background technique [0002] With the rapid development of Internet technology, users have higher and higher requirements for the service quality of various network services. Network service quality and performance assurance have become the current research and development focus. In the real-time video streaming media transmission system based on the Internet, it is the key to ensure the quality of service in the multimedia communication business. In the design of the real-time video network communication system, the control of network overload is an important and difficult point, which can neither cause waste of network resources. , but also ensure that the packet loss rate and delay ...

AI Technical Summary

Problems solved by technology

[0015] In view of the deficiencies of the existing technology, the video coding conversion transmission control system based on the self-assessment of the network status provided by this application is aimed at the network status of the prior art. As the basis for video transmission rate adjustment is limited, a method of combining packet loss rate, network delay, and delay jitter as network status evaluation elements is proposed, which provides a more reliable self-evaluation and adaptive adjustment of video data transmission rate. Judgment basis, the judgment of the network status is more scientific and accurate, which has laid a good foundation for the classification decision-making of video transcoding transmission control; the method for the prior art cannot take effective measures when the network is in a tendency to be overloaded but not yet overloaded. For the problem of pre-control measures, the network overload pre-control method is added, and the timing is clever to deal with the problem of network overload; in view of the existing technology, the network overload is too serious, and the simple adjustment of encoding parameters can no longer control the overload. The method of actively discarding key frames not only ensures the video quality, but also the transmission quality. The frame loss strategy is carried out before encoding, which reduces the workload of encoding and makes the system more robust and efficient.

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