We present a video caption detection and recognition

system based on a fuzzy-clustering neural network (FCNN) classifier.

Using a novel caption-transition detection scheme we locate

both spatial and temporal positions of video captions with high precision

and efficiency. Then employing several new character segmentation

and binarization techniques, we improve the Chinese

video-caption recognition accuracy from 13 to 86 on a set of

news video captions. As the first attempt on Chinese video-caption

recognition, our experiment results are very encouraging.-A spatial-temporal approach for video caption date