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» User-Model-Based Evaluation for Interactive Image Retrieval
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AIRS
2009
Springer
13 years 9 months ago
Enabling Effective User Interactions in Content-Based Image Retrieval
Abstract. This paper presents an interactive content-based image retrieval framework--uInteract, for delivering a novel four-factor user interaction model visually. The four-factor...
Haiming Liu 0002, Srdan Zagorac, Victoria S. Uren,...
ICTIR
2009
Springer
13 years 12 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...
AMT
2010
Springer
230views Multimedia» more  AMT 2010»
13 years 5 months ago
Visual Image Browsing and Exploration (Vibe): User Evaluations of Image Search Tasks
One of the fundamental challenges in designing an image retrieval system is choosing a method by which the images that match a given query are presented to the searcher. Traditiona...
Grant Strong, Orland Hoeber, Minglun Gong
ICCV
2011
IEEE
12 years 5 months ago
HEAT: Iterative Relevance Feedback with One Million Images
It has been shown repeatedly that iterative relevance feedback is a very efficient solution for content-based image retrieval. However, no existing system scales gracefully to hu...
Nicolae Suditu, Francois Fleuret
WILF
2009
Springer
196views Fuzzy Logic» more  WILF 2009»
13 years 10 months ago
Interactive Image Retrieval in a Fuzzy Framework
In this paper, an interactive image retrieval scheme using MPEG-7 visual descriptors is proposed. The performance of image retrieval systems is still limited due to semantic gap, w...
Malay Kumar Kundu, Minakshi Banerjee, Priyank Bagr...