High-speed recognizing method of change degree of video content

Abstract

The invention provides a high-speed recognizing of a change degree of video content. The high-speed recognizing method of the change degree of the video content comprises building a buffer area for a video to be evaluated according to an application scenario which comprises an offline scenario and an online scenario, initializing local variables, reading a next frame from the head portion of the buffer area built for the video to be evaluated and judging the type of the frame, carrying out a next step if the frame is a key frame, and otherwise, carrying out the current step, calculating the number of the bytes of the frame, accumulating the number of the bytes to a total number of the bytes, reading a next frame from the head portion of the buffer area built for the video to be evaluated, continuing to judge the type of the frame, carrying out a last step if the frame is a forecast frame, and otherwise, carrying out a next step, and calculating the metric of the change degree of the video content through the number of the bytes of the frame and the total number of the bytes. The high-speed recognizing method of the change degree of the video content can evaluate the content character of a video at high speed with low complexity and space spending, and can meet the needs of carrying out simple and fast classification on the video content.

Description

technical field [0001] The invention belongs to the technical field of multimedia communication, and relates to a method for identifying changes in video content, in particular to a method for identifying the degree of change in video content at high speed. Background technique [0002] With the development of the Internet, audio and video media streams gradually occupy the main traffic of the network. However, the Internet is a best-effort transmission network. During the transmission of streaming media, bandwidth, packet loss, jitter, and delay occur from time to time, which will adversely affect the video quality. . Previous research on QoS (Quality of Service) was aimed at improving network performance and overall resource utilization, but current ISPs and ICPs pay more attention to the actual experience of contracted customers, and QoS cannot meet this need. Therefore, QoE (Quality of Experience) is introduced to describe the viewing quality of multimedia users. [0...

AI Technical Summary

Problems solved by technology

[0005] In view of the shortcomings of the prior art described above, the purpose of the present invention is to provide a method for high-speed recognition of the degree of change in video content, which is used to solve the problems of slow recognition speed, large resource overhead, and training requiring a large amount of data in the prior art. And the identified information is far more than the needs of the QoE evaluation model, and there are problems of resource redundancy and waste

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