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ICCV
2009
IEEE
1022views Computer Vision» more  ICCV 2009»
17 years 17 hour 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
209
Voted
ICPR
2010
IEEE
15 years 4 months ago
Beyond "Near Duplicates": Learning Hash Codes for Efficient Similar-Image Retrieval
Finding similar images in a large database is an important, but often computationally expensive, task. In this paper, we present a two-tier similar-image retrieval system with the...
Shumeet Baluja, Michele Covell
198
Voted
VLDB
2001
ACM
122views Database» more  VLDB 2001»
15 years 11 months ago
An Extendible Hash for Multi-Precision Similarity Querying of Image Databases
We propose multi-precision similarity matching where the image is divided into a number of subblocks, each with its associated color histogram. We present experimental results sho...
Shu Lin, M. Tamer Özsu, Vincent Oria, Raymond...
162
Voted
ICPR
2010
IEEE
15 years 10 months ago
Beyond "Near-Duplicates": Learning Hash Codes for Efficient Similar-Image Retrieval
Finding similar images in a large database is an important, but often computationally expensive, task. In this paper, we present a two-tier similar-image retrieval system with the...
Shumeet Baluja, Michele Covell
IBPRIA
2003
Springer
16 years 7 days ago
Hash-Like Fractal Image Compression with Linear Execution Time
The main computational cost in Fractal Image Analysis (FIC) comes from the required range-domain full block comparisons. In this work we propose a new algorithm for this comparison...
Kostadin Koroutchev, José R. Dorronsoro