Robustness and reliability evaluations of image annotation

NCUIR > School of Management at National Central University > Department of Information Management > journal & Dissertation > Item 987654321/106995

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106995

Title:	Robustness and reliability evaluations of image annotation
Authors:	柯士文;Lin, W.-C.;Ke, S.-W.;Tsai, C.-F.
Contributors:	管理學院資訊管理學系
Keywords:	Annotation accuracy;Coefficient of variation;Image annotation;Performance evaluation
Date:	2016-01-01
Issue Date:	2026-04-23 13:52:24 (UTC+8)
Publisher:	Maney Publishing;Taylor & Francis
Abstract:	摘要： The semantic gap problem in image retrieval has motivated much work focusing on automatic image annotation, aimed at facilitating computers to automatically assign keywords to images. The basic measure for evaluating the annotation performance is usually to examine the annotation accuracy. To do this, the fraction of the relevant images, which have been correctly classified by a specific classifier or image annotation system, is measured. Consequently, the evaluation result can be thought of as a surrogate for the judgment of real users. However, the ability of this kind of quantitative evaluation measure to fully evaluate the performance and value of image annotation systems is limited. This paper introduces two complementary metrics related to the rates of annotation accuracy, which can help to further assess the robustness and stability of image annotation systems. They are: (i) the number of annotated keywords with zero-rate accuracy and (ii) the coefficient of variation of annotation accuracy. The evaluation results based on three datasets show that these two metrics are very useful to make a more reliable conclusion for image annotation systems. 出版者： Taylor & Francis 出版日期： 2016-02-17 出處： The imaging science journal, 2016-02, Vol.64 (2), p.94-99 資源來源： Academic Search Premier (EBSCO) 版權： 2016 The Royal Photographic Society 2016 識別號： ISSN: 1368-2199 識別號： EISSN: 1743-131X 識別號： DOI: 10.1080/13682199.2016.1139290
Appears in Collections:	[Department of Information Management] journal & Dissertation

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