A Novel Approach to Detecting Scene Text in Video

摘要：

Scene test in video contains semantic information and thus can contribute significantly to video retrieval and understanding. However, most methods detect scene text in image or single frame. Videos differ from images in temporal redundancy. In this paper we present a novel approach to detecting video scene text based on the video temporal redundancy. Video scene texts in consecutive frames have arbitrary motion due to camera or object movement Therefore, first, we perform the motion detection in 30 consecutive frames to synthesize motion image. Second we implement video scene text detection in single frame to retrieve candidate text regions. Finally, the synthesized motion image is used to filter out candidate text regions and only keep the candidate text regions which have motion occurrence as final scene text. Experimental results show that our algorithm performs well for detecting scene text with various color, font-size and text alignment.

关键词： scene text motion detection color clustering svm

作者: Xiaodong Huang

作者单位: Capital Normal University,Beijing 100048, China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 479-483

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）