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» The Meaning of an Image in Content-Based Image Retrieval
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SIGIR
2012
ACM
13 years 2 months ago
Content-based retrieval for heterogeneous domains: domain adaptation by relative aggregation points
We introduce the problem of domain adaptation for content-based retrieval and propose a domain adaptation method based on relative aggregation points (RAPs). Content-based retriev...
Makoto P. Kato, Hiroaki Ohshima, Katsumi Tanaka
JCDL
2009
ACM
162views Education» more  JCDL 2009»
15 years 6 months ago
No bull, no spin: a comparison of tags with other forms of user metadata
User-contributed tags have shown promise as a means of indexing multimedia collections by harnessing the combined efforts and enthusiasm of online communities. But tags are only o...
Catherine C. Marshall
ECCV
2006
Springer
16 years 2 months ago
Learning Compositional Categorization Models
Abstract. This contribution proposes a compositional approach to visual object categorization of scenes. Compositions are learned from the Caltech 101 database1 intermediate abstra...
Björn Ommer, Joachim M. Buhmann
ICIAP
2007
ACM
15 years 6 months ago
k-dimensional Size Functions for Shape Description and Comparison
This paper advises the use of k-dimensional size functions for comparison and retrieval in the context of multidimensional shapes, where by shape we mean something in two or highe...
Andrea Cerri, Silvia Biasotti, Daniela Giorgi
BDA
2007
15 years 1 months ago
Hyperplane Queries in a Feature-Space M-tree for Speeding up Active Learning
In content-based retrieval, relevance feedback (RF) is a noticeable method for reducing the “semantic gap” between the low-level features describing the content and the usually...
Michel Crucianu, Daniel Estevez, Vincent Oria, Jea...