基于分块和Lab颜色模型的字幕提取方法

Approach Based on Blocking and Lab Color Model for Caption Extraction in Video Frames

视频中的文本是建立视频检索的—个重要线索,因为视频中的文本总是和视频帧相关,并且客观地描述了视频帧的主要内容。根据背景区域内像素颜色变化缓慢而背景和前景交汇处像素颜色变化剧烈的原理采用对视频帧的每一行像素进行分块的方法计算每一块的变化率来检测和定位文本区域;使用Lab颜色模型来二值化图像从而提取文本图像。实验数据表明该方法效果不错,有很好的应用前景。

Captions is an important clue for setting up video retrieval, because the captions are always relevant to the video frames and objectively descript the main contents of the video frames. In this paper, according to that the pixels＇s color of the background change slowly while the pixels＇s color of the junction of the background and foreground change quickly, using approach that blocking every row of the video frame and computing the changing rate of every blocks to realize caption detection and location. Using Lab color model to realize binary text extraction. Experiment results show this approach is promising and has a good application prospects.