Method and device for adding marker information to video frames and detecting frame loss

Abstract

The embodiment of the invention discloses a method and device for adding mark information and detection frame loss in a video frame. The method comprises following steps: obtaining a to-be-sent YUV video frame; taking the to-be-sent YUV video frame as a current video frame; extracting a Y-component image of the video frame; allocating a continuous original serial number for marking the video frame to the Y-component image of the video frame; converting the original serial number into a binary number with preset digits; embedding the binary number in the Y-component image of the video frame, comprising: modifying the end of a preset component of all pixels in each part of the video frame into the corresponding digit of the binary number; sending the current video frame embedded with the serial number to a video receiver so that the video receiver can detect frame loss according to the mark information. In application of the embodiment of the invention, the storage space can be saved; the processing process of carrying out frame loss detection to the video transmitted in real time is simplified; and the calculation time is saved.

Description

technical field [0001] The invention relates to the field of video transmission, in particular to a method and a device for adding tag information to video frames and detecting frame loss. Background technique [0002] With the development of the Internet and mobile Internet, more and more applications need to transmit video in real time. For example, video calls are developing rapidly, and video calls have relatively high requirements for real-time performance. However, in actual situations, due to insufficient network bandwidth, delays and packet loss are serious, and hardware performance such as video codec devices and display devices cannot meet expectations, etc. , there will be video frame loss, so that the video receiver cannot fully play the data collected by the video sender, which reduces the user experience. A comprehensive, objective measure of video call frame loss is essential to evaluating the performance of a video system. At present, the identification of ...

AI Technical Summary

Problems solved by technology

[0004] One way is to detect whether there is frame loss in the transmission system by generating a special video sequence of black and white images, but it does not use the real collected video images for analysis, and cannot simulate the entire complex scene of the real real-time transmitted video

[0005] The other is to detect whether there is frame loss in the transmission system by adding additional tags to the video image sequence and detecting whether the tags are missing. This method needs to increase the corresponding storage space to save the tags in the entire transmission process, and also It is necessary to sort the tags according to the receiving time at the video receiving end. This method requires additional storage and sorting calculations, which is more complicated

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