Paper
13 January 2003 Syntax-directed content analysis of videotext: application to a map detection recognition system
Hrishikesh Aradhye, James A. Herson, Gregory Myers
Author Affiliations +
Proceedings Volume 5010, Document Recognition and Retrieval X; (2003) https://doi.org/10.1117/12.476057
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States
Abstract
Video is an increasingly important and ever-growing source of information to the intelligence and homeland defense analyst. A capability to automatically identify the contents of video imagery would enable the analyst to index relevant foreign and domestic news videos in a convenient and meaningful way. To this end, the proposed system aims to help determine the geographic focus of a news story directly from video imagery by detecting and geographically localizing political maps from news broadcasts, using the results of videotext recognition in lieu of a computationally expensive, scale-independent shape recognizer. Our novel method for the geographic localization of a map is based on the premise that the relative placement of text superimposed on a map roughly corresponds to the geographic coordinates of the locations the text represents. Our scheme extracts and recognizes videotext, and iteratively identifies the geographic area, while allowing for OCR errors and artistic freedom. The fast and reliable recognition of such maps by our system may provide valuable context and supporting evidence for other sources, such as speech recognition transcripts. The concepts of syntax-directed content analysis of videotext presented here can be extended to other content analysis systems.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hrishikesh Aradhye, James A. Herson, and Gregory Myers "Syntax-directed content analysis of videotext: application to a map detection recognition system", Proc. SPIE 5010, Document Recognition and Retrieval X, (13 January 2003); https://doi.org/10.1117/12.476057
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Cited by 1 scholarly publication.
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KEYWORDS
Video

Optical character recognition

Image segmentation

Image processing

Homeland security

Speech recognition

Computing systems

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