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» Document Image Retrieval with Local Feature Sequences
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MM
2006
ACM
152views Multimedia» more  MM 2006»
15 years 3 months ago
Local image representations using pruned salient points with applications to CBIR
Salient points are locations in an image where there is a significant variation with respect to a chosen image feature. Since the set of salient points in an image capture import...
Hui Zhang, Rouhollah Rahmani, Sharath R. Cholleti,...
CVPR
2010
IEEE
15 years 5 months ago
Scalable Face Image Retrieval with Identity-Based Quantization and Multi-Reference Re-ranking
State-of-the-art image retrieval systems achieve scalability by using bag-of-words representation and textual retrieval methods, but their performance degrades quickly in the face...
Zhong Wu, Qifa Ke, Jian Sun, Heung-Yeung Shum
ICIAP
2007
ACM
15 years 9 months ago
Transformation invariant SOM clustering in Document Image Analysis
In this paper, we propose the combination of the Self Organizing Map (SOM) and of the tangent distance for effective clustering in Document Image Analysis. The proposed model (SOM...
Simone Marinai, Emanuele Marino, Giovanni Soda
ICDAR
2011
IEEE
13 years 9 months ago
Word Retrieval in Historical Document Using Character-Primitives
Word searching and indexing in historical document collections is a challenging problem because, characters in these documents are often touching or broken due to degradation/agei...
Partha Pratim Roy, Jean-Yves Ramel, Nicolas Ragot
74
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MM
2009
ACM
230views Multimedia» more  MM 2009»
15 years 4 months ago
Query expansion for hash-based image object retrieval
An efficient indexing method is essential for content-based image retrieval with the exponential growth in large-scale videos and photos. Recently, hash-based methods (e.g., local...
Yin-Hsi Kuo, Kuan-Ting Chen, Chien-Hsing Chiang, W...