A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2004; you can also visit the original URL.
The file type is
In this paper, we propose a new system for text information extraction from news videos. First of all, a method that integrates text detecting and text tracking is developed to locate text areas in the key-frames (images), together with a scheme to evaluate the performance of this approach. To get better recognition results, we then enhance the quality of the detected text blocks by multi-frame averaging. Finally, we use an adaptive thresholding method to binarize the text blocks and recognizedoi:10.1109/icme.2001.1237861 dblp:conf/icmcs/XiHCWZ01 fatcat:utb3ve27rzex5ify43d5dv7bkm