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» Boosting Image Retrieval
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SAC
2003
ACM
14 years 3 months ago
Improving Image Retrieval Effectiveness in Query-by-Example Environment
Query-by-example is the most popular query model for today’s image retrieval systems. A typical query image contains not only relevant objects (e.g., Eiffel Tower), but also ir...
Khanh Vu, Kien A. Hua, Ning Jiang
CIVR
2003
Springer
156views Image Analysis» more  CIVR 2003»
14 years 3 months ago
Towards a Comprehensive Survey of the Semantic Gap in Visual Image Retrieval
This paper adopts the premise that the ‘semantic gap' is an incompletely surveyed feature in the landscape of visual image retrieval, and proposes a framework within which t...
Peter G. B. Enser, Christine J. Sandom
IPCV
2008
13 years 11 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 ...
VCIP
2003
238views Communications» more  VCIP 2003»
13 years 11 months ago
Texture segmentation based on features in wavelet domain for image retrieval
Texture is a fundamental feature which provides significant information for image classification, and is an important content used in content-based image retrieval (CBIR) system. ...
Ying Liu, Si Wu, Xiaofang Zhou
IVC
2007
176views more  IVC 2007»
13 years 10 months ago
Kernel-based distance metric learning for content-based image retrieval
ct 8 For a specific set of features chosen for representing images, the performance of a content-based image retrieval (CBIR) system 9 depends critically on the similarity or diss...
Hong Chang, Dit-Yan Yeung