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김광인

Kim, Kwang In
Machine Learning and Vision Lab.
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A video indexing system using character recognition

Author(s)
Kim, Eun YiKim, Kwang InJung, KeechulKim, Hang Joon
Issued Date
2000-06-13
DOI
10.1109/ICCE.2000.854683
URI
https://scholarworks.unist.ac.kr/handle/201301/35863
Fulltext
https://ieeexplore.ieee.org/document/854683
Citation
19th International Conference on Consumer Electronics
Abstract
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.
Publisher
IEEE

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