Video subtitle thinning method based on template matching and curve fitting

Abstract

The invention relates to the field of multimedia information processing, and specifically to a video subtitle thinning method based on template matching and curve fitting. According to the video subtitle thinning method, taking structural features of Chinese characters into consideration, strokes of Chinese characters are extracted and redrawn, thereby achieving an effect of thinning the Chinese characters, and solving the problems of stroke distortion and loss and low recognition rate which are generated when other thinning algorithms are used to perform thinning on the objects of the class. The technical points of the video subtitle thinning method in the invention includes: obtaining Chinese character images in video subtitles; determining connected regions of the Chinese character images; proposing a template matching method to extract strokes of Chinese characters in the same connected region; and proposing a method of redrawing horizontal strokes and vertical strokes with horizontal and vertical line segments, redrawing left-falling strokes and right-falling strokes with secondary Bezier curves, and redrawing dot strokes with oblique line segments, thereby realizing a thinning effect of the Chinese character images. The video subtitle thinning method based on template matching and curve fitting in the invention keeps the shapes and the stroke structures of the Chinese characters, thereby preventing a distortion phenomenon; ensures flatness of horizontal strokes, straightness of vertical strokes and bending of left-falling and right-falling strokes, thereby better redrawing the shapes of the Chinese characters; and improves a recognition effect of the video subtitles.

Description

technical field [0001] The invention belongs to the field of multimedia information processing, and in particular relates to a Chinese character image thinning method based on video subtitles. Background technique [0002] The rich semantic knowledge contained in video captions provides important information for multimedia retrieval. Therefore, how to automatically and effectively detect, segment, and recognize video subtitles has become a major challenge faced by academics, businesses, and political regulators. In recent years, there are many effective methods in video subtitle detection and segmentation, but it is still a research problem for low-pixel video subtitle recognition. [0003] At present, there is a mature OCR recognition technology for the recognition of Chinese characters. However, this technology can only achieve high recognition accuracy for high-resolution scanned fonts, and for low-resolution video subtitles, the recognition results are not ideal due to...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to propose an effective thinning method for video Chinese subtitles, combining the structural features of Chinese characters, extracting and redrawing the strokes of Chinese characters to achieve the effect of thinning Chinese characters, and solving the problem of other thinning algorithms for this type of object Problems such as stroke distortion and loss when thinning

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