An automatic measurement method of video-based encoder delay

Abstract

The invention discloses an automatic measuring method of encoder delay based on video. It specifically includes the following steps: (1) Use the image time coding method to generate a piece of material frame by frame, compress and encapsulate it into a CBR mode TS file, the image time coding of the material starts from 0, and the video PTS also starts from 0, and is converted into an image through PTS Time code timestamp, send the test material through UDP at the set CBR bit rate through the test network port, and generate a test stream; (2) Configure the transcoder under test to receive the test stream, and then send it back to the test device after transcoding (3) The test equipment receives the return test stream, decodes and detects to extract the timestamp, and compares it with the source test stream to obtain the overall delay data. The beneficial effect of the present invention is that the delay is detected by detecting the time code on the video, which has universality, is not disturbed by the player and the transmission layer, and can track the delay jitter in real time.

Description

technical field [0001] The present invention relates to the technical field of encoder and transcoder, in particular to an automatic measurement method of encoder delay based on video. Background technique [0002] In the field of live video, latency is an important factor affecting viewer experience, so it is necessary to measure and evaluate the latency of the transcoding system. The end-to-end delay of the transcoder refers to the delay of the whole process of receiving, decapsulating, decoding, preprocessing, encoding, encapsulating, and sending the media stream. The commonly used method is: the streaming end and the playback end face the same clock, and then subtract the time displayed on the streaming end from the time displayed on the streaming end to obtain the live broadcast delay. There are many disadvantages of this method, 1) imprecise, 2) affected by the player, 3) affected by the transport layer, 4) need manual participation, 5) delay jitter cannot be tracked ...

AI Technical Summary

Problems solved by technology

This method has many disadvantages, 1) inaccurate, 2) affected by the player, 3) affected by the transport layer, 4) requires manual participation, 5) delay jitter cannot be tracked in real time

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