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» User-Model-Based Evaluation for Interactive Image Retrieval
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AIRS
2009
Springer
15 years 1 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
15 years 4 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»
14 years 9 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
13 years 9 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»
15 years 1 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...