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» Diversifying the image retrieval results
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ACMSE
2006
ACM
14 years 1 months ago
Using visual attention to extract regions of interest in the context of image retrieval
Recent research on computational modeling of visual attention has demonstrated that a bottom-up approach to identifying salient regions within an image can be applied to diverse a...
Oge Marques, Liam M. Mayron, Gustavo B. Borba, Hum...
IPCV
2008
13 years 9 months ago
Content Based Retrieval System for Archaeological Images
Most of the existing image retrieval systems take the textual query from the user and utilize the metadata associated with the database images to retrieve the result. However, the...
Akshay Asthana, Ranjan Dutta, Anshul Jain, Deepak ...
WWW
2009
ACM
14 years 8 months ago
Web image retrieval reranking with multi-view clustering
General image retrieval is often carried out by a text-based search engine, such as Google Image Search. In this case, natural language queries are used as input to the search eng...
Mingmin Chi, Peiwu Zhang, Yingbin Zhao, Rui Feng, ...
EVOW
2010
Springer
14 years 2 months ago
Content-Based Image Retrieval of Skin Lesions by Evolutionary Feature Synthesis
This paper gives an example of evolved features that improve image retrieval performance. A content-based image retrieval system for skin lesion images is presented. The aim is to ...
Lucia Ballerini, Xiang Li, Robert B. Fisher, Ben A...
COOPIS
2004
IEEE
13 years 11 months ago
Ontology for Nature-Scene Image Retrieval
This paper presents a framework for building an ontology to provide semantic interpretations in image contents. The novelty of this framework comes from building a MPEG-7 ontology ...
Song Liu, Liang-Tien Chia, Syin Chan