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» Combining Textual and Visual Features for Image Retrieval
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CVPR
2011
IEEE
14 years 7 months ago
Unsupervised Auxiliary Visual Words Discovery for Large-Scale Image Object Retrieval
Image object retrieval – locating image occurrences of specific objects in large-scale image collections – is essential for manipulating the sheer amount of photos. Current s...
Yin-Hsi Kuo, Hsuan-Tien Lin, Wen-Huang Cheng, Yi-H...
ICASSP
2009
IEEE
15 years 4 months ago
Impact of novel sources on content-based image and video retrieval
The problem of content-based image and video retrieval with textual queries is often posed as that of visual concept classification, where classifiers for a set of predetermined...
Arnab Ghoshal, Sanjeev Khudanpur, Dietrich Klakow
CEE
2010
67views more  CEE 2010»
14 years 9 months ago
Series feature aggregation for content-based image retrieval
Feature aggregation is a critical technique in content-based image retrieval systems that employ multiple visual features to characterize image content. One problem in feature aggr...
Jun Zhang, Lei Ye
ICIP
2010
IEEE
14 years 7 months ago
Image retrieval with feature selection and relevance feedback
This paper proposes a new content based image retrieval (CBIR) system combined with relevance feedback and the online feature selection procedures. A measure of inconsistency from...
Yu Sun, Bir Bhanu
VISUAL
2000
Springer
15 years 1 months ago
Chinese Cursive Script Character Image Retrieval Based on an Integrated Probability Function
Abstract. Often in content-based image retrieval, a single image attribute may not have enough discriminative information for retrieval. On the other hand, when multiple features a...
Irwin King, Zhong Jin, David Yuk-Ming Chan