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» Boosting Image Retrieval
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ICDAR
2009
IEEE
14 years 5 months ago
Document Image Retrieval with Local Feature Sequences
In recent years, many document image retrieval algorithms have been proposed. However, most of the current approaches either need good quality images or depend on the page layout ...
Jilin Li, Zhi-Gang Fan, Yadong Wu, Ning Le
MMSP
2008
IEEE
349views Multimedia» more  MMSP 2008»
14 years 4 months ago
Content based image retrieval using curvelet transform
Abstract—Feature extraction is a key issue in contentbased image retrieval (CBIR). In the past, a number of texture features have been proposed in literature, including statistic...
Ishrat Jahan Sumana, Md. Monirul Islam, Dengsheng ...
ECML
2004
Springer
14 years 3 months ago
Exploiting Unlabeled Data in Content-Based Image Retrieval
Abstract. In this paper, the Ssair (Semi-Supervised Active Image Retrieval) approach, which attempts to exploit unlabeled data to improve the performance of content-based image ret...
Zhi-Hua Zhou, Ke-Jia Chen, Yuan Jiang
CBMS
2001
IEEE
14 years 2 months ago
Computer Assisted Retrieval of Biomedical Image Features from Spine X-Rays: Progress and Prospects
Image indexing for biomedical content is a prohibitively expensive task if done manually. This leads to the demand for effective automated or computer assisted indexing methods. W...
L. Rodney Long, George R. Thoma
JMLR
2010
141views more  JMLR 2010»
13 years 5 months ago
Pinview: Implicit Feedback in Content-Based Image Retrieval
This paper describes Pinview, a content-based image retrieval system that exploits implicit relevance feedback during a search session. Pinview contains several novel methods that...
Peter Auer, Zakria Hussain, Samuel Kaski, Arto Kla...