584 search results - page 43 / 117 » Using RankBoost to compare retrieval systems |
117
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MM
2004
ACM
15 years 5 months ago
2004
ACM
Most current image retrieval systems and commercial search engines use mainly text annotations to index and retrieve WWW images. This research explores the use of machine learning...
121
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MIR
2010
ACM
14 years 10 months ago
2010
ACM
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
CIKM
2009
Springer
15 years 4 months ago
2009
Springer
The existence and use of standard test collections in information retrieval experimentation allows results to be compared between research groups and over time. Such comparisons, ...
CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
In this paper, we present a large-scale object retrieval system. The user supplies a query object by selecting a region of a query image, and the system returns a ranked list of i...
124
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MIR
2010
ACM
15 years 6 months ago
2010
ACM
Most video retrieval systems are multimodal, commonly relying on textual information, low- and high-level semantic features extracted from query visual examples. In this work, we ...