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» Scaling Up Whole-Book Recognition
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ICDAR
2009
IEEE
13 years 11 months ago
Scaling Up Whole-Book Recognition
We describe the results of large-scale experiments with algorithms for unsupervised improvement of recognition of book-images using fully automatic mutual-entropy-based model adap...
Pingping Xiu, Henry S. Baird
DAS
2008
Springer
13 years 6 months ago
Towards Whole-Book Recognition
We describe experimental results for unsupervised recognition of the textual contents of book-images using fully automatic mutual-entropy-based model adaptation. Each experiment s...
Pingping Xiu, Henry S. Baird
JCDL
2006
ACM
176views Education» more  JCDL 2006»
13 years 10 months ago
A hierarchical, HMM-based automatic evaluation of OCR accuracy for a digital library of books
A number of projects are creating searchable digital libraries of printed books. These include the Million Book Project, the Google Book project and similar efforts from Yahoo an...
Shaolei Feng, R. Manmatha
ECCV
2006
Springer
14 years 6 months ago
SURF: Speeded Up Robust Features
In this paper, we present a novel scale- and rotation-invariant interest point detector and descriptor, coined SURF (Speeded Up Robust Features). It approximates or even outperform...
Herbert Bay, Tinne Tuytelaars, Luc J. Van Gool
3DOR
2010
12 years 11 months ago
SHREC'10 Track: Large Scale Retrieval
This paper is a report on the 3D Shape Retrieval Constest 2010 (SHREC'10) track on large scale retrieval. This benchmark allows evaluating how wel retrieval algorithms scale ...
Remco C. Veltkamp, Geert-Jan Giezeman, Hannah Bast...