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» Retrieving lightly annotated images using image similarities
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ICMCS
2006
IEEE
200views Multimedia» more  ICMCS 2006»
15 years 12 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
15 years 11 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»
15 years 5 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»
15 years 11 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»
15 years 11 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