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» Retrieving lightly annotated images using image similarities
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ICMCS
2006
IEEE
200views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Automatic Medical Image Annotation and Retrieval using SEMI-SECC
The demand for automatically annotating and retrieving medical images is growing faster than ever. In this paper, we present a novel medical image retrieval method based on SEMIsu...
Jian Yao, Zhongfei (Mark) Zhang, Sameer Antani, L....
CIVR
2005
Springer
14 years 2 months ago
Automatic Annotation of Images from the Practitioner Perspective
This paper describes an ongoing project which seeks to contribute to a wider understanding of the realities of bridging the semantic gap in visual image retrieval. A comprehensive ...
Peter G. B. Enser, Christine J. Sandom, Paul H. Le...
PR
2008
146views more  PR 2008»
13 years 9 months ago
Retrieval of machine-printed Latin documents through Word Shape Coding
This paper reports a document retrieval technique that retrieves machine-printed Latin-based document images through word shape coding. Adopting the idea of image annotation, a wo...
Shijian Lu, Chew Lim Tan
MIR
2010
ACM
206views Multimedia» more  MIR 2010»
14 years 2 months ago
An investigation into the relationship between semantic and content based similarity using LIDC
There is considerable research in the field of content-based medical image retrieval; however, few of the current systems investigate the relationship between the radiologists’...
Robert Kim, Grace Dasovich, Runa Bhaumik, Richard ...
MM
2004
ACM
219views Multimedia» more  MM 2004»
14 years 2 months ago
Multi-level annotation of natural scenes using dominant image components and semantic concepts
Automatic image annotation is a promising solution to enable semantic image retrieval via keywords. In this paper, we propose a multi-level approach to annotate the semantics of n...
Jianping Fan, Yuli Gao, Hangzai Luo