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» Color Features Performance Comparison for Image Retrieval
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SIGIR
2008
ACM
13 years 8 months ago
Learning to reduce the semantic gap in web image retrieval and annotation
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
Changhu Wang, Lei Zhang 0001, Hong-Jiang Zhang
ESWS
2009
Springer
14 years 3 months ago
Benchmarking Fulltext Search Performance of RDF Stores
More and more applications use the RDF framework as their data model and RDF stores to index and retrieve their data. Many of these applications require both structured queries as ...
Enrico Minack, Wolf Siberski, Wolfgang Nejdl
CVPR
2012
IEEE
11 years 11 months ago
Three things everyone should know to improve object retrieval
The objective of this work is object retrieval in large scale image datasets, where the object is specified by an image query and retrieval should be immediate at run time in the...
Relja Arandjelovic, Andrew Zisserman
SIGGRAPH
1995
ACM
14 years 14 days ago
Fast multiresolution image querying
We present a method for searching in an image database using a query image that is similar to the intended target. The query image may be a hand-drawn sketch or a (potentially low...
Charles E. Jacobs, Adam Finkelstein, David Salesin
PSIVT
2007
Springer
170views Multimedia» more  PSIVT 2007»
14 years 3 months ago
Markov Random Fields and Spatial Information to Improve Automatic Image Annotation
Content-based image retrieval (CBIR) is currently limited because of the lack of representational power of the low-level image features, which fail to properly represent the actual...
Carlos Hernández-Gracidas, Luis Enrique Suc...