Kuruoglu E. E., Tan V.
Image similarity retrieval Document image databases Video scanning Multimedia systems Image processing and computer vision
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.
Source: ACM Multimedia 2000 Workshops, pp. 233–236, Los Angeles, USA, 4 November 2000
@inproceedings{oai:it.cnr:prodotti:406656, title = {Document image retrieval without OCRing using a video scanning system}, author = {Kuruoglu E. E. and Tan V.}, booktitle = {ACM Multimedia 2000 Workshops, pp. 233–236, Los Angeles, USA, 4 November 2000}, year = {2000} }