一种新的视频字幕提取算法

提出一种基于边缘强度的视频图像字幕提取算法。此算法通过对图像进行锐化预处理, 使得对特定的视频序列可以达到较好的提取效果; 通过领域平均处理, 更好地分离了字幕区域和背景区域; 提出一个基于投影统计特征分析的算法, 能够更好、更高效、更精确地分离和提取字幕。实验证明, 该算法在效果上优于其他的算法, 并且该算法复杂度低, 实用价值高, 可以广泛用于视频编解码等过程中。

A Novel Algorithm for the Video Caption Extraction

The authors propose a novel algorithm for the video caption extraction. By using the image sharpening method, a better extraction effect can be achieved for the special video sequences. The caption area and the non-caption area can be efficiently separated by neighborhood average operation. A projection algorithm is proposed to implement on a better decomposition and extraction based on the statistical characteristics, and this can efficiently separate the caption area and make the extraction coordinates more precise. The experiments show that the proposed algorithm has a better effect compared with the original methods. Because of the low computational complexity, it can be widely used in the field of video image processing.