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» Diversifying the image retrieval results
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MMDB
2004
ACM
148views Multimedia» more  MMDB 2004»
14 years 4 months ago
A unified framework for image database clustering and content-based retrieval
With the proliferation of image data, the need to search and retrieve images efficiently and accurately from a large image database or a collection of image databases has drastica...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...
EC
2008
225views ECommerce» more  EC 2008»
13 years 11 months ago
Texture Segmentation by Genetic Programming
We investigated image retrieval using texture segmentation by genetic programming. In this study, we are interested with two textures: sky and grass textures. Single-step texture ...
Andy Song, Victor Ciesielski
CVPR
2005
IEEE
15 years 1 months ago
A Semi-Supervised Active Learning Framework for Image Retrieval
Although recent studies have shown that unlabeled data are beneficial to boosting the image retrieval performance, very few approaches for image retrieval can learn with labeled a...
Steven C. H. Hoi, Michael R. Lyu
ICPR
2004
IEEE
15 years 7 days ago
Spin Images for Retrieval of 3D Objects by Local and Global Similarity
The ever increasing availability of 3D models demands for tools supporting their effective and efficient management. Among these tools, those enabling content-based retrieval play...
Alberto Del Bimbo, Jürgen Assfalg, Pietro Pal...
CLEF
2006
Springer
14 years 2 months ago
Overview of the ImageCLEF 2006 Photographic Retrieval and Object Annotation Tasks
This paper describes the general photographic retrieval and object annotation tasks of the ImageCLEF 2006 evaluation campaign. These tasks provide both the resources and the frame...
Paul Clough, Michael Grubinger, Thomas Deselaers, ...