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» Mixture model based contextual image retrieval
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MMS
2006
14 years 11 months ago
A probabilistic semantic model for image annotation and multi-modal image retrieval
This paper addresses automatic image annotation problem and its application to multi-modal image retrieval. The contribution of our work is three-fold. (1) We propose a probabilis...
Ruofei Zhang, Zhongfei (Mark) Zhang, Mingjing Li, ...
ICDIM
2006
IEEE
15 years 5 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
ICTIR
2009
Springer
15 years 5 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...
ACISICIS
2010
IEEE
15 years 22 days ago
User-Model-Based Evaluation for Interactive Image Retrieval
Abstract--User-system interaction is sometimes a cumbersome element of non-textual information access. Image retrieval systems now incorporate various interaction mechanisms. Howev...
Masashi Inoue, Manh Hong Nguyen
MTA
2008
146views more  MTA 2008»
14 years 11 months ago
A survey of browsing models for content based image retrieval
The problem of content based image retrieval (CBIR) has traditionally been investigated within a framework that emphasises the explicit formulation of a query: users initiate an au...
Daniel Heesch