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» Face image retrieval by using Haar features
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ICPR
2000
IEEE
16 years 27 days ago
Feature Relevance Learning with Query Shifting for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
Douglas R. Heisterkamp, Jing Peng, H. K. Dai
MLDM
1999
Springer
15 years 4 months ago
Independent Feature Analysis for Image Retrieval
Content-based image retrieval methods based on the Euclidean metric expect the feature space to be isotropic. They su€er from unequal di€erential relevance of features in comput...
Jing Peng, Bir Bhanu
CG
2010
Springer
14 years 12 months ago
An evaluation of descriptors for large-scale image retrieval from sketched feature lines
We address the problem of fast, large scale sketch-based image retrieval, searching in a database of over one million images. We show that current retrieval methods do not scale w...
Mathias Eitz, Kristian Hildebrand, Tamy Boubekeur,...
TMM
2002
140views more  TMM 2002»
14 years 11 months ago
Narrowing the semantic gap - improved text-based web document retrieval using visual features
In this paper, we present the results of our work that seek to negotiate the gap between low-level features and high-level concepts in the domain of web document retrieval. This wo...
Rong Zhao, William I. Grosky
ICIP
2008
IEEE
16 years 1 months ago
Sobel-LBP
This paper presents a new Sobel-LBP, an extension of existing Local Binary Pattern (LBP), for facial image representation. The face image is filtered by Sobel operator to enhance ...
Sanqiang Zhao, Yongsheng Gao, Baochang Zhang