SINCERITY: A Search Engine for Image Retrieval

被引：0

作者：

Menard, Elaine ^{[1
]}

Dorey, Jonathan ^{[1
]}

机构：

[1] McGill Univ, Sch Informat Studies, Montreal, PQ H3A 2T5, Canada

来源：

CANADIAN JOURNAL OF INFORMATION AND LIBRARY SCIENCE-REVUE CANADIENNE DES SCIENCES DE L INFORMATION ET DE BIBLIOTHECONOMIE | 2016年 / 40卷 / 02期

关键词：

digital images; search engine; image indexing; image retrieval; taxonomy; usability; cross-language information retrieval (CLIR); multilingual information; image collections; LANGUAGE INFORMATION-RETRIEVAL; WORLD-WIDE-WEB; USERS; TRANSLATION; CORPUS; ACCESS; TIIARA;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article presents the third and last phase of a research project wherein the search engine SINCERITY was tested with a sample of images and image searchers. The performance of the two main searching features of the image search engine (the keyword box and taxonomic structure) is compared. In addition, this study aims to understand the effect of users' language on their language preferences when searching for images. Both quantitative and qualitative data were gathered using search retrieval tasks and a questionnaire.

引用

页码：100 / 123

页数：24

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