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CVIU
2004
115views more  CVIU 2004»
13 years 7 months ago
Dynamic learning from multiple examples for semantic object segmentation and search
We present a novel ``dynamic learning'' approach for an intelligent image database system to automatically improve object segmentation and labeling without user interven...
Yaowu Xu, Eli Saber, A. Murat Tekalp
ECCV
2008
Springer
14 years 9 months ago
Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search
This paper improves recent methods for large scale image search. State-of-the-art methods build on the bag-of-features image representation. We, first, analyze bag-of-features in t...
Herve Jegou, Matthijs Douze, Cordelia Schmid
ICIP
2007
IEEE
14 years 9 months ago
Common Spatial Pattern Discovery by Efficient Candidate Pruning
Automatically discovering common visual patterns in images is very challenging due to the uncertainties in the visual appearances of such spatial patterns and the enormous computa...
Junsong Yuan, Zhu Li, Yun Fu, Ying Wu, Thomas S. H...
ICIP
2008
IEEE
14 years 9 months ago
Fast adaptive Mahalanobis distance-based search and retrieval in image databases
Motivated by the need to efficiently leverage user relevance feedback in content-based retrieval from image databases, we propose a fast, clustering-based indexing technique for e...
Sharadh Ramaswamy, Kenneth Rose
ICMCS
2005
IEEE
85views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Fast Search Method for Image Vector Quantization Based on Equal-Average Equal-Variance and Partial Sum Concept
The encoding process of image vector quantization (VQ) is very heavy due to it performing a lot of k-dimensional Euclidean distance computations. In order to speed up VQ encoding,...
Zhibin Pan, Koji Kotani, Tadahiro Ohmi