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» Optimization of Content-Based Image Retrieval Functions
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PG
2003
IEEE
13 years 11 months ago
Non-Photorealistic Rendering and Content-Based Image Retrieval
In this paper, we will show how non-photorealistic rendering (NPR) can take a new role in content-based image retrieval (CBIR). We propose a content-based image retrieval method. ...
Xiaowen Ji, Zoltan Kato, Zhiyong Huang
MICCAI
2007
Springer
14 years 6 months ago
Effectiveness of the Finite Impulse Response Model in Content-Based fMRI Image Retrieval
The thresholded t-map produced by the General Linear Model (GLM) gives an effective summary of activation patterns in functional brain images and is widely used for feature selecti...
Bing Bai, Paul B. Kantor, Ali Shokoufandeh
ICDIM
2006
IEEE
13 years 11 months ago
Model-Driven Development of Content-Based Image Retrieval Systems
: Generic systems for content-based image retrieval (CBIR), such as QBIC [7] cannot be used to solve domain-specific image retrieval problems, as for example, the identification of...
Temenushka Ignatova
AIRS
2009
Springer
13 years 9 months ago
Enabling Effective User Interactions in Content-Based Image Retrieval
Abstract. This paper presents an interactive content-based image retrieval framework--uInteract, for delivering a novel four-factor user interaction model visually. The four-factor...
Haiming Liu 0002, Srdan Zagorac, Victoria S. Uren,...
SIGMOD
2003
ACM
237views Database» more  SIGMOD 2003»
14 years 6 months ago
Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
Deok-Hwan Kim, Chin-Wan Chung