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A Time Domain Information Fusion Method Based on Inter-Frame Correlation and Slot Worst

A fusion method and time-domain technology, applied in image communication, digital video signal modification, electrical components, etc.

Active Publication Date: 2019-01-29
XIDIAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The object of the present invention is to provide a time-domain information fusion method based on inter-frame correlation and the worst time slot, aiming at solving the problem of how to predict the quality measurement of the entire video by local quality scores in video quality evaluation

Method used

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  • A Time Domain Information Fusion Method Based on Inter-Frame Correlation and Slot Worst
  • A Time Domain Information Fusion Method Based on Inter-Frame Correlation and Slot Worst
  • A Time Domain Information Fusion Method Based on Inter-Frame Correlation and Slot Worst

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Embodiment Construction

[0020] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0021] The application principle of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0022] Such as figure 1 Shown: A time-domain fusion method based on inter-frame correlation and the worst time slot, which is more authoritative in the field of video quality evaluation and refers to the video in the extensive LIVE video quality evaluation database for testing. The time-domain fusion method for correlating and slotting the worst includes the following steps:

[0023] S101: start;

[0024] S102: Select an objective video quality evaluation model OM, calculate the pre...

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Abstract

The invention discloses an interframe relevance and time slot worst based time domain information fusion method. A prediction score of each frame of a video is calculated according to an objective video quality evaluation model; sliding window mean value treatment is performed on the prediction scores and ranking is performed on the results subjected to the sliding window treatment; and the mean value of the worst frames is taken as the predication score of the whole video sequence. According to the invention, on the basis of a prior time domain fusion method, the performance of an objective video quality evaluation algorithm is improved effectively and the method provided by the invention is a simple and effective time domain information fusion method meeting human visual characteristics. Compared with a prior mean value fusion method, the method is small in errors and meets a result of human eye practical evaluation. Considering the influence among frames, the method is good in effect. The method provided by the invention takes human eye delay effect into consideration and also takes connection among the frames into consideration. By adopting sliding window mean value method for processing data of each frame, the estimation accuracy is improved substantially.

Description

technical field [0001] The invention belongs to the technical field of digital video processing, and in particular relates to a time-domain information fusion method based on correlation between frames and the worst time slot. Background technique [0002] After nearly 30 years of rapid development of multimedia communication technology and video compression technology, more and more communication data appears in the form of video images. Compared with other communication data, video can carry data that is more real, richer and easier to be received and processed by the human brain, giving people a more intuitive and vivid image. Video information transmission has become an indispensable and important part of industrial communication and multimedia services. However, digital video data will be affected by various factors such as noise in the process of acquisition, processing, compression, transmission and reproduction, resulting in various distortions, which will affect th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/154H04N19/109H04N19/117
CPCH04N19/109H04N19/117H04N19/154
Inventor 宋锐祝桂林胡银林贾媛李云松王养利
Owner XIDIAN UNIV
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