Method for fast closed caption detection and localization in news videos
Liang Bai · Jisuanji yingyong yanjiu · 2011
News video caption,especially the closed caption,implies lots of semantics inherently,which is very important for the analysis and comprehension of news videos.This paper proposed a novel method for detecting and locating news closed captions using spatio-temporal distribution feature.Firstly,considering the fact that the closed caption remained in many consecutive frames,only extracted a few representative frames from the frame sequence.Then based on edge and location feature of the closed caption,annotated the caption candidate blocks.Finally detected the location and appear-disappear time of closed caption by analysis statistically the image in frame sequence.Experimental results show that the proposed approach can fast and robustly detect closed captions from news video.