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CLEF
2007
Springer
16 years 9 days ago
Using Pseudo-Relevance Feedback to Improve Image Retrieval Results
In this paper, we propose a pseudo-relevance feedback method to deal with the photographic retrieval and medical retrieval tasks of ImageCLEF 2007. The aim of our participation to...
Mouna Torjmen, Karen Pinel-Sauvagnat, Mohand Bough...
161
Voted
PR
2008
79views more  PR 2008»
15 years 6 months ago
Region-based image retrieval with high-level semantics using decision tree learning
Semantic-based image retrieval has attracted great interest in recent years. This paper proposes a region-based image retrieval system with high-level semantic learning. The key f...
Ying Liu, Dengsheng Zhang, Guojun Lu
165
Voted
CIVR
2010
Springer
215views Image Analysis» more  CIVR 2010»
15 years 10 months ago
Multi modal semantic indexing for image retrieval
Popular image retrieval schemes generally rely only on a single mode, (either low level visual features or embedded text) for searching in multimedia databases. Many popular image...
Chandrika Pulla, C. V. Jawahar
CIKM
2010
Springer
15 years 4 months ago
Novel local features with hybrid sampling technique for image retrieval
In image retrieval, most existing approaches that incorporate local features produce high dimensional vectors, which lead to a high computational and data storage cost. Moreover, ...
Leszek Kaliciak, Dawei Song, Nirmalie Wiratunga, J...
132
Voted
ICCV
1999
IEEE
16 years 8 months ago
Texture-based Image Retrieval without Segmentation
Image segmentation is not only hard and unnecessary for texture-based image retrieval, but can even be harmful. Images of either individual or multiple textures are best described...
Yossi Rubner, Carlo Tomasi