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ACMSE
2006
ACM
14 years 4 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...
COMPSAC
2002
IEEE
14 years 3 months ago
An Effective Content-Based Visual Image Retrieval System
In this paper, an effective content-based visual image retrieval system is presented. This system consists of two main components: visual content extraction and indexing, and quer...
Xiuqi Li, Shu-Ching Chen, Mei-Ling Shyu, Borko Fur...
DEXA
2001
Springer
112views Database» more  DEXA 2001»
14 years 3 months ago
An Information-Driven Framework for Image Mining
Image mining systems that can automatically extract semantically meaningful information (knowledge) from image data are increasingly in demand. The fundamental challenge in image m...
Ji Zhang, Wynne Hsu, Mong-Li Lee
CVPR
1997
IEEE
14 years 3 months ago
FOCUS: Searching for Multi-colored Objects in a Diverse Image Database
We describe a new multi-phase, color-based image retrieval system, FOCUS Fast Object Color-based qUery System, with an online user interface which is capable of identifying mult...
Madirakshi Das, Edward M. Riseman, Bruce A. Draper
PAMI
2007
171views more  PAMI 2007»
13 years 10 months ago
Toward Objective Evaluation of Image Segmentation Algorithms
—Unsupervised image segmentation is an important component in many image understanding algorithms and practical vision systems. However, evaluation of segmentation algorithms thu...
Ranjith Unnikrishnan, Caroline Pantofaru, Martial ...