Design And Implement The Image Analysis Algorithms In The Network Multi-Media Information Processing System

This paper aims at dealing with the emergence of a large number of illegal information which comes from the massive network video data currently. First of all, it introduces a multi-media information processing system and then the background of some related programming design. The whole system is divided into two parts, the discovery part and the analysis part of the suspected illegal video, which purposed to find all the suspected illegal video by their key frames. And then, do analysis and comparison to the suspected video frame in order to identify the characteristics of the contents. After that, we can give warnings to the certain illegal video.This system takes the popular search technology, which can discovery the illegal text information much easy and quickly by rapidly querying the introductory page, to identify the illegal streaming video links. It can extract the high-frequency words as a keywords base and to do self-study by using the new words classified website extraction method and the information entropy method. These keywords will be the features of the illegal streaming video on the website and then can search the most probably keywords automatically by using feature selection algorithm.The focus of this paper is on the second part of the whole system, anglicizing the doubtful illegal video files. Firstly, we can detect icons from each video image in order to see if it comes from an illegal channel. And then, deal with the content of the images which has no illegal icons. Subtitle testing is the most direct and easy method to diagnosis the illegal streaming media. Here, we design two algorithms, which have some optimized and improved based on the traditional ways, to obtain the effect referred before and also. One is to match the images and the icons after extracting the features, the other is to detect and extract the subtitles of the images. For the first one, do some pretreatment to the images, such as using OTUS threshold segmentation method to devise the whole picture, getting the contour by average gradient algorithm, then do threshold segmentation again to complete the pretreatment processing. For the second one, we use block disposal method based on the traditional expansion way to insure the general region. Then the subtitles region can be connected, and there is no gap between these subtitles text. At the same time, we improve the rules formulation of the restrictive conditions to meet the extraction subtitles.In order to verify these new algorithms, we build the experimental platform at last, and the results of this experiment show the accurate and efficient of which as expected.