Selecting method of keyframe for video quality evaluation

Abstract

The invention relates to a selecting method of a keyframe for video quality evaluation, which includes: first describing motion intensity degree of each image block in each frame of video images in mean absolute deviation (MAD) method, then weighting the motion intensity degree of each image block by adopting weight factors based on human eye vision sense interest, calculating total motion intensity degree of each frame of images, and determining the keyframe according to a set judging condition. The selecting method overcomes the defects in the prior art, remarkably reduces calculating complexity of evaluating a video frame by frame, and can be applied to actual video quality evaluation. Human eye vision sense interest is further considered and used as the weighting factors to calculate the motion intensity degree of the images so that the selected keyframe can reflect actual video quality accurately and is in accordance with subjective appreciation experience. In addition, the selecting method is simple in operation steps, convenient and easy to integrate and has good popularization value in video quality evaluation application.

Description

technical field [0001] The invention relates to a method for selecting key frames of video images, more precisely, relates to a method for selecting key frames for video quality evaluation based on video motion characteristics and human visual interest, and belongs to the technical field of multimedia communication. Background technique [0002] In the field of multimedia communication, video image information processing technology is always the focus of research. In practical applications, the quality of video images is an indispensable indicator for evaluating multimedia communication systems. With the rapid development of multimedia services, how to correctly and effectively evaluate the quality of video images has become a research hotspot. Existing video quality evaluation methods often select the average value of single-frame image evaluation quality as the evaluation result. The disadvantage of this method is that it does not consider the influence of motion informat...

AI Technical Summary

Problems solved by technology

[0016] It can be seen that the MAD method is relatively independent, simple, intuitive, and highly operable. However, neither of these two methods considers the subjective observation characteristics of the human eye, resulting in insufficient accuracy. The second method also has the problem of slightly higher computational complexity.

[0017] In short, some of the above-mentioned key frame selection methods are simple in calculation, but cannot match the changes in the actual scene; some of them have better effects, but the calculation complexity is high, and they cannot be practically applied.

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