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PSIVT
2007
Springer
170views Multimedia» more  PSIVT 2007»
13 years 11 months ago
Markov Random Fields and Spatial Information to Improve Automatic Image Annotation
Content-based image retrieval (CBIR) is currently limited because of the lack of representational power of the low-level image features, which fail to properly represent the actual...
Carlos Hernández-Gracidas, Luis Enrique Suc...
ISVC
2007
Springer
13 years 11 months ago
Automatic Image Representation for Content-Based Access to Personal Photo Album
Abstract. The proposed work exploits methods and techniques for automatic characterization of images for content-based access to personal photo libraries. Several techniques, even ...
Edoardo Ardizzone, Marco La Cascia, Filippo Vella
CIVR
2007
Springer
280views Image Analysis» more  CIVR 2007»
13 years 11 months ago
Demonstration of image retrieval based on illumination invariant textural MRF features
Content-based image retrieval (CBIR) systems target database images using feature similarities with respect to the query. Our CBIR demonstration utilises novel illumination invari...
Pavel Vacha, Michal Haindl
CIVR
2007
Springer
112views Image Analysis» more  CIVR 2007»
13 years 11 months ago
Practice and challenges in trademark image retrieval
In this paper, we outline some of the main challenges facing trademark searchers today, and discuss the extent to which current automated systems are meeting those challenges. Cat...
Jan Schietse, John P. Eakins, Remco C. Veltkamp
ICMCS
2007
IEEE
149views Multimedia» more  ICMCS 2007»
13 years 11 months ago
An Empirical Study on Large-Scale Content-Based Image Retrieval
One key challenge in content-based image retrieval (CBIR) is to develop a fast solution for indexing high-dimensional image contents, which is crucial to building large-scale CBIR...
Yuk Man Wong, Chu-Hong Hoi, Michael R. Lyu
SIBGRAPI
2008
IEEE
13 years 11 months ago
A Genetic Programming Approach for Relevance Feedback in Region-Based Image Retrieval Systems
This paper presents a new relevance feedback method for content-based image retrieval using local image features. This method adopts a genetic programming approach to learn user p...
Jefersson Alex dos Santos, Cristiano D. Ferreira, ...
CIMCA
2008
IEEE
13 years 11 months ago
The Inner Structure of Database for the CBIR System
In this article we focus on the presentation of the inner structure of the database for the Content-Based Image Retrieval (CBIR) system containing house images. The part devoted t...
Tatiana Jaworska
PKDD
2009
Springer
162views Data Mining» more  PKDD 2009»
13 years 11 months ago
A Convex Method for Locating Regions of Interest with Multi-instance Learning
Abstract. In content-based image retrieval (CBIR) and image screening, it is often desirable to locate the regions of interest (ROI) in the images automatically. This can be accomp...
Yu-Feng Li, James T. Kwok, Ivor W. Tsang, Zhi-Hua ...
ISCIS
2009
Springer
13 years 11 months ago
Dynamic feature weights with relevance feedback in content-based image retrieval
— In this paper, we present a novel relevance feedback method for Content-Based Image Retrieval systems based on dynamic feature weights. The proposed method utilizes intracluste...
Esin Guldogan, Moncef Gabbouj
ICTIR
2009
Springer
13 years 11 months ago
A Four-Factor User Interaction Model for Content-Based Image Retrieval
In order to bridge the “Semantic gap”, a number of relevance feedback (RF) mechanisms have been applied to content-based image retrieval (CBIR). However current RF techniques i...
Haiming Liu 0002, Victoria S. Uren, Dawei Song, St...