A video indexing system using character recognition

Eun Yi Kim, Kwang In Kim, Keechul Jung, Hang Joon Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationProc. IEEE International Conference on Consumer Electronics, 2000
PublisherIEEE
Pages358-359
Number of pages2
ISBN (Print)0780363019
DOIs
Publication statusPublished - 2000
EventInternational Conference on Consumer Electronics, 2000. ICCE. 2000 Digest of Technical Papers - Los Angeles, USA United States
Duration: 13 Jun 200015 Jun 2000

Conference

ConferenceInternational Conference on Consumer Electronics, 2000. ICCE. 2000 Digest of Technical Papers
CountryUSA United States
CityLos Angeles
Period13/06/0015/06/00

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  • Cite this

    Kim, E. Y., Kim, K. I., Jung, K., & Kim, H. J. (2000). A video indexing system using character recognition. In Proc. IEEE International Conference on Consumer Electronics, 2000 (pp. 358-359). IEEE. https://doi.org/10.1109/ICCE.2000.854683