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» Evaluating Image Retrieval
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VDB
1998
117views Database» more  VDB 1998»
15 years 6 months ago
Textural Features and Relevance Feedback for Image Retrieval
This paper focuses on the retrieval of complex images based on their textural content. We use GMRF for texture discrimination and a region-growing algorithm for texture segmentati...
Eugenio Di Sciascio, Giacomo Piscitelli, Augusto C...
RIAO
2004
15 years 6 months ago
Cross-Language Image Retrieval via Spoken Query
This paper studies cross-language cross-medium information retrieval. We introduce several approaches to unify the languages and media of queries and documents. We experiment on c...
Wen-Cheng Lin, Ming-Shun Lin, Hsin-Hsi Chen
CIKM
2007
Springer
15 years 11 months ago
Latent semantic fusion model for image retrieval and annotation
This paper studies the effect of Latent Semantic Analysis (LSA) on two different tasks: multimedia document retrieval (MDR) and automatic image annotation (AIA). The contributio...
Trong-Ton Pham, Nicolas Maillot, Joo-Hwee Lim, Jea...
ICDIM
2006
IEEE
15 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
SIGIR
2005
ACM
15 years 10 months ago
A database centric view of semantic image annotation and retrieval
We introduce a new model for semantic annotation and retrieval from image databases. The new model is based on a probabilistic formulation that poses annotation and retrieval as c...
Gustavo Carneiro, Nuno Vasconcelos