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» Semi-supervised Hashing for Scalable Image Retrieval
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CVPR
2010
IEEE
14 years 22 days ago
Semi-supervised Hashing for Scalable Image Retrieval
Large scale image search has recently attracted considerable attention due to easy availability of huge amounts of data. Several hashing methods have been proposed to allow approx...
Jun Wang, Sanjiv Kumar, Shih-Fu Chang
SIGIR
2012
ACM
11 years 6 months ago
Boosting multi-kernel locality-sensitive hashing for scalable image retrieval
Similarity search is a key challenge for multimedia retrieval applications where data are usually represented in high-dimensional space. Among various algorithms proposed for simi...
Hao Xia, Pengcheng Wu, Steven C. H. Hoi, Rong Jin
ICCV
2009
IEEE
1022views Computer Vision» more  ICCV 2009»
14 years 9 months ago
Kernelized Locality-Sensitive Hashing for Scalable Image Search
Fast retrieval methods are critical for large-scale and data-driven vision applications. Recent work has explored ways to embed high-dimensional features or complex distance fun...
Brian Kulis, Kristen Grauman
CIVR
2007
Springer
273views Image Analysis» more  CIVR 2007»
13 years 10 months ago
Scalable near identical image and shot detection
This paper proposes and compares two novel schemes for near duplicate image and video-shot detection. The first approach is based on global hierarchical colour histograms, using ...
Ondrej Chum, James Philbin, Michael Isard, Andrew ...
ICMCS
2007
IEEE
149views Multimedia» more  ICMCS 2007»
13 years 10 months ago
An Empirical Study on Large-Scale Content-Based Image Retrieval
One key challenge in content-based image retrieval (CBIR) is to develop a fast solution for indexing high-dimensional image contents, which is crucial to building large-scale CBIR...
Yuk Man Wong, Chu-Hong Hoi, Michael R. Lyu