A four-factor user interaction model for content-based image retrieval

Haiming Liu; Victoria Uren; Dawei Song; Stefan Ruger

doi:10.1007/978-3-642-04417-5_29

A four-factor user interaction model for content-based image retrieval

Haiming Liu
, Victoria Uren
, Dawei Song
, Stefan Ruger

Institute for Research in Applicable Computing (IRAC)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

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 in most existing CBIR systems still lack satisfactory user interaction although some work has been done to improve the interaction as well as the search accuracy. In this paper, we propose a four-factor user interaction model and investigate its effects on CBIR by an empirical evaluation. Whilst the model was developed for our research purposes, we believe the model could be adapted to any content-based search system.

Original language	English
Title of host publication	nan
Publisher	Springer
ISBN (Electronic)	9783642044168
ISBN (Print)	9783642044168
DOIs	https://doi.org/10.1007/978-3-642-04417-5_29
Publication status	Published - 1 Jan 2009
Event	2nd International Conference on Theory of Information Retrieval - Duration: 1 Jan 2009 → …

Conference

Conference	2nd International Conference on Theory of Information Retrieval
Period	1/01/09 → …
Other	2nd International Conference on Theory of Information Retrieval

Keywords

Content-based image retrieval

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10.1007/978-3-642-04417-5_29

http://dl.acm.org/citation.cfm%3Fid%3D1612371

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title = "A four-factor user interaction model for content-based image retrieval",

abstract = "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 in most existing CBIR systems still lack satisfactory user interaction although some work has been done to improve the interaction as well as the search accuracy. In this paper, we propose a four-factor user interaction model and investigate its effects on CBIR by an empirical evaluation. Whilst the model was developed for our research purposes, we believe the model could be adapted to any content-based search system.",

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AU - Uren, Victoria

AU - Song, Dawei

AU - Ruger, Stefan

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N2 - 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 in most existing CBIR systems still lack satisfactory user interaction although some work has been done to improve the interaction as well as the search accuracy. In this paper, we propose a four-factor user interaction model and investigate its effects on CBIR by an empirical evaluation. Whilst the model was developed for our research purposes, we believe the model could be adapted to any content-based search system.

AB - 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 in most existing CBIR systems still lack satisfactory user interaction although some work has been done to improve the interaction as well as the search accuracy. In this paper, we propose a four-factor user interaction model and investigate its effects on CBIR by an empirical evaluation. Whilst the model was developed for our research purposes, we believe the model could be adapted to any content-based search system.

KW - Content-based image retrieval

U2 - 10.1007/978-3-642-04417-5_29

DO - 10.1007/978-3-642-04417-5_29

M3 - Conference contribution

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PB - Springer

T2 - 2nd International Conference on Theory of Information Retrieval

Y2 - 1 January 2009

ER -

A four-factor user interaction model for content-based image retrieval

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Keywords

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