一种结合边缘和角点特征的视频字幕检测方法  

A Video Caption Detection Method with Edge and Comer Features

作　　者：赵云兰[1] 宋永红[1] 周颐[2] 

机构地区：[1]西安交通大学软件学院,陕西西安710049 [2]西安交通大学宣传部广电中心,陕西西安710049

出　　处：《信息工程期刊（中英文版）》2013年第5期85-91,共7页Scientific Journal of Information Engineering

摘　　要：视频中的字幕提供了描述视频内容的有用信息，对于基于关键字的视频检索具有重要作用。对视频中字幕进行了研究，提出了一种结合视频帧中的边缘和角点特征进行字幕检测的方法。该方法首先提取彩色视频帧在RGB3个颜色分量上的彩色Roberts梯度算子，得到凸显边缘区域的灰度图像，然后在得到的灰度图像上提取Harris角点，再通过形态学处理得到候选字幕连通区域，最后结合本文提出的一些视频文本特征进行连通区域分析得到最终字幕区域。实验证明，该算法能够快速定位字幕区域，定位准确性较高。Video caption contains important clue of video content, so it plays a significant role in the content based video retrieval. In this paper, a video text detection approach which combines edge and comer point features is proposed. Firstly, the gradient map is obtained by applying Roberts edge operator on the three color components from a single video frame. Then the Harris comer point is extracted on the gradient maps. Thirdly, the candidate text regions are acquired by morphological operations. Finally, the captions are located using the proposed text features and connected component analysis. The experiment results show the proposed approach can detect captions with high speed and high accuracy.

关 键 词：字幕检测 罗伯特交叉梯度算子 角点检测 视频文本特性 

分 类 号：TP[自动化与计算机技术]