A video indexing system using character recognition
Eun Yi Kim, Kwang In Kim, Keechul Jung, Hang Joon Kim · 2002
We design and implement a video indexing system. For automatic indexing of video images, character recognition information is utilized. The proposed system consists of three components: keyframe extraction, text extraction, and text recognition. It extracts text regions using a neural network that operates as a set of texture discrimination filters, and performing profile analysis with some heuristics. To ensure accurate segmentation of touching characters, character segmentation and recognition are performed in turn. The proposed system has been tested with 390 Korean news archives.