Objective assessment method for encoding quality of video sequence

Abstract

The invention discloses an objective assessment method for the encoding quality of a video sequence, which comprises the following steps of: firstly figuring out an interframe difference of luminance components of each frame and the previous frame of an original video; extracting the encoding bit number of an interframe encoding frame of the video sequence; figuring out the interframe difference and the average value of the luminance components of a decoded interframe encoding frame and the previous frame and the average value of interframe differences of the original video; performing unary linear regression analysis to obtain the ratio of the maximum average bit number variation to the average interframe difference variation of a single frame before and after the encoding, wherein the difference between the decoded interframe encoding frame and the previous frame serves as an independent variable, and the encoding bit number of the interframe encoding frame per se serves as a dependent variable; converting the ratio the maximum average bit number variation to the average interframe difference variation of the single frame before and after the encoding into a final assessment value for the quality of the video sequence; and comparing the final assessment value with a predetermined reference value to judge the quality of the received video sequence, or judging the single-frame quality of the current interframe encoding frame according to a set dependence interval. The method disclosed by the invention has the advantages of simplicity, less reference information, convenience for acquisition, high assessment sensitivity and high application flexibility.

Description

Technical field [0001] The invention relates to a method for evaluating the quality of a video sequence, and belongs to the field of multimedia communication. Background technique [0002] With the widespread application of wireless and IP video services, in order to provide users with higher quality of service (QoS) or sensory quality (QoE), it is particularly important to perform real-time quality evaluation of received videos at user terminals. For a video quality objective evaluation method, according to the degree of comparison between the distorted video and its corresponding original reference video, it can be divided into full-reference model (Full-Reference FR), partial reference model (Reduced-Reference RR) and no-reference model ( No-Reference NR). In the long-distance multimedia communication system, the terminal often cannot get the original video as a reference, so the full reference model cannot be applied. Although the reference-free model can be easily applied ...

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