Method for screening images and system thereof

Abstract

The invention provides a method for screening images without mosaic or with little mosaic, and a system thereof; a method for screening clear images and a system thereof; and a method for screening images and a system thereof. The method for screening video images comprises the following steps of: converting the video images into gray scale images, filtering monochrome images; screening the images without mosaic or with little mosaic by the method for screening the images without mosaic or with little mosaic; calculating information entropy of the screened images in order to screen the images with more information quantity; dividing golden visual regions of the screened images in order to calculate marginal density of each region and obtain the marginal density ratio of the images; respectively calculating normalized marginal gradient values of the screened images; and calculating the weighting sum of the marginal density ratio and the marginal gradient values, and screening the video images with the maximum weighting sum. The method and the system provided by the invention can conveniently and fast screen the video images satisfying the needs, improve the screening efficiency, be good for searching and screening the video files, and improve loyalty of users to access the website.

Description

technical field [0001] The invention relates to the field of video image processing, in particular to an image screening method and system thereof. Background technique [0002] Video sharing refers to a service in which netizens or website staff upload video files to sharing websites, and the sharing website staff perform necessary technical processing on the video files before providing them to users for sharing. At present, relatively well-known video sharing websites include foreign YouTube, domestic Youku, Tudou, etc., which are video sharing websites frequently visited by ordinary netizens. Generally speaking, the necessary technical processing of video files mainly involves video transcoding, cover extraction, clipping, storage, and yellow anti-filtering. [0003] When a netizen visits a video sharing website and browses a video file, he first sees a text description of a certain video file and a picture representing the content of the video. We call this picture the...

AI Technical Summary

Problems solved by technology

However, there is currently no in-depth research on this technology, and no corresponding solutions have been proposed.

Therefore, if only a simple and incomplete technical analysis is performed on the video image, it is very likely that the screened image will also have defects such as black screen, green screen, too dark, blurred image content, ghosting, mosaic, and no main content. Therefore, the application Poor prospects

[0006] Of course, netizens / website staff can also obtain video covers that better reflect the subject content through manual selection and technical processing methods for uploading video files; but with the development and popularization of the Internet, and ordinary netizens’ preferences for making videos, The number of video files uploaded every day is staggering for a video sharing website, and it is still showing massive growth

If each uploaded video file is manually selected and processed, it will consume a lot of labor costs and be inefficient

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