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MTA
2000
165views more  MTA 2000»
13 years 8 months ago
Approximating Content-Based Object-Level Image Retrieval
Object-level image retrieval is an active area of research. Given an image, a human observerdoesnot see randomdots of colors. Rather,he she observesfamiliarobjectsin the image. The...
Wynne Hsu, Tat-Seng Chua, Hung Keng Pung
KDD
2003
ACM
233views Data Mining» more  KDD 2003»
14 years 9 months ago
SEWeP: using site semantics and a taxonomy to enhance the Web personalization process
Web personalization is the process of customizing a Web site to the needs of each specific user or set of users, taking advantage of the knowledge acquired through the analysis of...
Magdalini Eirinaki, Michalis Vazirgiannis, Iraklis...
IJCV
2007
163views more  IJCV 2007»
13 years 8 months ago
Semantic Modeling of Natural Scenes for Content-Based Image Retrieval
In this paper, we present a novel image representation that renders it possible to access natural scenes by local semantic description. Our work is motivated by the continuing effo...
Julia Vogel, Bernt Schiele
SIBGRAPI
2003
IEEE
14 years 2 months ago
Using Efficient Visual Exploration Techniques to Evaluate Features for Content-Based Image Retrieval
This paper presents a novel visual approach to evaluate, in a fast and effective way, the development of new image feature extraction techniques concerning content-based image ret...
José Fernando Rodrigues Jr., César A...
COMPSAC
2002
IEEE
14 years 1 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...