DocumentCode :
2391730
Title :
User-Model-Based Evaluation for Interactive Image Retrieval
Author :
Inoue, Masashi ; Nguyen, Manh Hong
Author_Institution :
Yamagata Univ., Yonezawa, Japan
fYear :
2010
fDate :
18-20 Aug. 2010
Firstpage :
538
Lastpage :
539
Abstract :
User-system interaction is sometimes a cumbersome element of non-textual information access. Image retrieval systems now incorporate various interaction mechanisms. However, there is no standard or established way of interacting that has been proven to be most effective. Therefore, many system designers are introducing or eliminating various functionalities. The bottleneck in the development effort is finding an effective and fair way to evaluate these systems. For static information access, several test collections have commonly been used. For interactive information access, expensive laboratory testing is needed. This paper presents a user semi-automatic user-model-based evaluation method that is designed to reduce cost while maintaining objectivity.
Keywords :
image retrieval; interactive systems; interactive image retrieval; nontextual information access; user model based evaluation; user system interaction; Buildings; Conferences; Data models; Image retrieval; Laboratories; Markov processes; evaluation; image retrieval; user model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Science (ICIS), 2010 IEEE/ACIS 9th International Conference on
Conference_Location :
Yamagata
Print_ISBN :
978-1-4244-8198-9
Type :
conf
DOI :
10.1109/ICIS.2010.121
Filename :
5590397
Link To Document :
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