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» A content-based image retrieval system for fish taxonomy
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ICIP
2005
IEEE
14 years 1 months ago
Using Tsallis entropy into a Bayesian network for CBIR
This paper presents a Bayesian Network model for ContentBased Image Retrieval (CBIR). In the explanation and test of this work, only two images features (semantic evidences) are i...
Paulo S. Rodrigues, Gilson A. Giraldi, Ade A. Arau...
IS
2010
13 years 6 months ago
VISTO: A new CBIR system for vector images
In this paper, we present the main features of VISTO (Vector Image Serach TOol), a new Content-Based Image Retrieval (CBIR) system for vector images. Though unsuitable for photore...
Tania Di Mascio, Daniele Frigioni, Laura Tarantino
PCM
2004
Springer
107views Multimedia» more  PCM 2004»
14 years 1 months ago
Complete Performance Graphs in Probabilistic Information Retrieval
The performance of a Content-Based Image Retrieval (CBIR) system presented in the form of Precision-Recall or PrecisionScope graphs offers an incomplete overview of the system und...
Nicu Sebe, Dionysius P. Huijsmans, Qi Tian, Theo G...
SAMT
2007
Springer
203views Multimedia» more  SAMT 2007»
14 years 2 months ago
A Generic Framework for Semantic Medical Image Retrieval
Performing simple keyword-based search has long been the only way to access information. But for a truly comprehensive search on multimedia data, this approach is no longer sucien...
Manuel Möller, Michael Sintek
ICIP
2000
IEEE
14 years 9 months ago
Combine User Defined Region-of-Interest and Spatial Layout for Image Retrieval
Content-Based Image Retrieval (CBIR) is one of the most active research areas in recent years. Many visual feature representations have been explored and many systems built. Howev...
Qi Tian, Ying Wu, Thomas S. Huang