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» Document Retrieval Using SIFT Image Features
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ICCV
2011
IEEE
14 years 4 months ago
Informative Feature Selection for Object Recognition via Sparse PCA
Bag-of-words (BoW) methods are a popular class of object recognition methods that use image features (e.g., SIFT) to form visual dictionaries and subsequent histogram vectors to r...
Nikhil Naikal, Allen Y. Yang, S. Shankar Sastry
ICPR
2002
IEEE
16 years 5 months ago
Improvement of Histogram-Based Image Retrieval and Classification
Histogram-based techniques are commonly used in image retrieval ranging from basic color histograms to sophisticated histograms of various local feature vectors. Our approach cons...
Sven Siggelkow, Hans Burkhardt
113
Voted
CIVR
2006
Springer
144views Image Analysis» more  CIVR 2006»
15 years 8 months ago
A Linear-Algebraic Technique with an Application in Semantic Image Retrieval
Abstract. This paper presents a novel technique for learning the underlying structure that links visual observations with semantics. The technique, inspired by a text-retrieval tec...
Jonathon S. Hare, Paul H. Lewis, Peter G. B. Enser...
ICDAR
2003
IEEE
15 years 10 months ago
Indexing and retrieval of words in old documents
This paper describes a system for efficient indexing and retrieval of words in collections of document images. The proposed method is based on two main principles: unsupervised pr...
Simone Marinai, Emanuele Marino, Giovanni Soda
155
Voted
ICMCS
2006
IEEE
181views Multimedia» more  ICMCS 2006»
15 years 10 months ago
Toward Intelligent Use of Semantic Information on Subspace Discovery for Image Retrieval
Image retrieval has been widely used in many fields of science and engineering. The semantic concept of user interest is obtained by a learning process. Traditional techniques oft...
Jie Yu, Qi Tian