Comparison method for confirming consistency of video image content through rgb color mode

Abstract

The invention provides a comparison method for confirming the consistency of video image contents through an rgb color mode, which comprises the following steps of: setting the time duration of comparing video clips each time, and setting the time duration of advancing and delaying a source video on the time duration of comparing the video; setting the area unit size for calculating the rgb value each time; carrying out key frame extraction on the source video; dividing key frames extracted from a source video and an issued video according to area units, and calculating rgb values of the areas one by one; averaging or accumulating and comparing the rgb values of the regions one by one according to the key frames and the region sequence, and recording a comparison result; and judging whether the playing content of the source video and the playing content of the finally played issued video are consistent or not by integrating the comparison result of each time. The method is suitable for comparing whether the playing contents of the source video and the finally played video are consistent or not, and monitoring the transmission quality, the playing effect or the content consistency of the video in various scenes, and is rapid, convenient and efficient.

Description

technical field [0001] The invention relates to a method for confirming the content consistency of video images through rgb color mode, and belongs to the technical field of video transmission. Background technique [0002] In recent years, with the development of science and technology, information dissemination equipment and technologies such as 5G, IPTV, broadband network, and mobile phone terminals have been popularized and developed rapidly. People are more accustomed to watching videos through mobile phones, smart set-top boxes and other terminal devices, especially short videos. and news. The ever-increasing and numerous types of video content not only enrich people's spiritual and cultural development needs and improve people's living standards, but also adapt to the rapid development of the Internet today, making full and effective use of network resources. [0003] However, due to the complexity of the network, there may be various abnormal situations such as seri...

AI Technical Summary

Problems solved by technology

The comparison method of directly watching videos manually is time-consuming, laborious and inefficient

Through machine learning, after a lot of recognition training, the accuracy rate is high, but the process is complicated and the cost is high, and it is only suitable for particularly important usage scenarios

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