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

Haiming Liu; Victoria Uren; Dawei Song; Stefan Rüger

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 Rüger

^*此作品的通讯作者

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

2 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	Advances in Information Retrieval Theory - Second International Conference on the Theory of Information Retrieval, ICTIR 2009, Proceedings
页	297-304
页数	8
DOI	https://doi.org/10.1007/978-3-642-04417-5_29
出版状态	已出版 - 2009
已对外发布	是
活动	2nd International Conference on the Theory of Information Retrieval, ICTIR 2009 - Cambridge, 英国期限: 10 9月 2009 → 12 9月 2009

出版系列

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	5766 LNCS
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	2nd International Conference on the Theory of Information Retrieval, ICTIR 2009
国家/地区	英国
市	Cambridge
时期	10/09/09 → 12/09/09

访问文件

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

其它文件与链接

链接到 Scopus 的出版物

引用此

Liu, H., Uren, V., Song, D., & Rüger, S. (2009). A four-factor user interaction model for content-based image retrieval. 在 Advances in Information Retrieval Theory - Second International Conference on the Theory of Information Retrieval, ICTIR 2009, Proceedings (页码 297-304). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 5766 LNCS). https://doi.org/10.1007/978-3-642-04417-5_29

Liu, Haiming ; Uren, Victoria ; Song, Dawei 等. / A four-factor user interaction model for content-based image retrieval. Advances in Information Retrieval Theory - Second International Conference on the Theory of Information Retrieval, ICTIR 2009, Proceedings. 2009. 页码 297-304 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{e3a95ac5f7e7482d90c8501dbc3488ec,

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.",

keywords = "Content-based image retrieval, Relevance feedback, User interaction",

author = "Haiming Liu and Victoria Uren and Dawei Song and Stefan R{\"u}ger",

year = "2009",

doi = "10.1007/978-3-642-04417-5_29",

language = "English",

isbn = "3642044166",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "297--304",

booktitle = "Advances in Information Retrieval Theory - Second International Conference on the Theory of Information Retrieval, ICTIR 2009, Proceedings",

note = "2nd International Conference on the Theory of Information Retrieval, ICTIR 2009 ; Conference date: 10-09-2009 Through 12-09-2009",

}

Liu, H, Uren, V, Song, D & Rüger, S 2009, A four-factor user interaction model for content-based image retrieval. 在 Advances in Information Retrieval Theory - Second International Conference on the Theory of Information Retrieval, ICTIR 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 5766 LNCS, 页码 297-304, 2nd International Conference on the Theory of Information Retrieval, ICTIR 2009, Cambridge, 英国, 10/09/09. https://doi.org/10.1007/978-3-642-04417-5_29

A four-factor user interaction model for content-based image retrieval. / Liu, Haiming; Uren, Victoria; Song, Dawei 等.
Advances in Information Retrieval Theory - Second International Conference on the Theory of Information Retrieval, ICTIR 2009, Proceedings. 2009. 页码 297-304 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 5766 LNCS).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - A four-factor user interaction model for content-based image retrieval

AU - Liu, Haiming

AU - Uren, Victoria

AU - Song, Dawei

AU - Rüger, Stefan

PY - 2009

Y1 - 2009

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

KW - Relevance feedback

KW - User interaction

UR - http://www.scopus.com/inward/record.url?scp=70350580822&partnerID=8YFLogxK

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

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

M3 - Conference contribution

AN - SCOPUS:70350580822

SN - 3642044166

SN - 9783642044168

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 297

EP - 304

BT - Advances in Information Retrieval Theory - Second International Conference on the Theory of Information Retrieval, ICTIR 2009, Proceedings

T2 - 2nd International Conference on the Theory of Information Retrieval, ICTIR 2009

Y2 - 10 September 2009 through 12 September 2009

ER -

Liu H, Uren V, Song D, Rüger S. A four-factor user interaction model for content-based image retrieval. 在 Advances in Information Retrieval Theory - Second International Conference on the Theory of Information Retrieval, ICTIR 2009, Proceedings. 2009. 页码 297-304. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-04417-5_29

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

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