PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Kuruoglu E. E., Tan V. Document image retrieval without OCRing using a video scanning system. In: ACM Multimedia 2000 Workshops. (Los Angeles, 4 November 2000). Proceedings, pp.233-236. ACM, 2000. 2000.
 
 
Abstract
(English)
In this paper, we propose a technique for efficient document retrieval from digital libraries containing document images which are token based compressed. The query image is captured from a paper document by the video scanning tool of a multimedia system. The technique we propose uses the layout information supplied by the relative positions of the character tokens on the page of a "query" paper document to retrieve the original document in the image database. This technique avoids OCRing the query document and the documents in the database; moreover avoids decompressing the token based compressed documents in the database, therefore achieving important time and computational gains.
Subject image similarity retrieval
document image databases
video scanning
multimedia systems
I.4 IMAGE PROCESSING AND COMPUTER VISION


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