The Use of QBIC Content-Based Image Retrieval System
Resource
Journal of Library and Information Studies, 1(4), pp.21-35
Journal
圖書資訊學刊
Journal Volume
1
Journal Issue
4
Pages
21-35
Date Issued
2004-03
Date
2004-03
Author(s)
Wu, Ching-Yi
Lin, Lih-Juan Chan
Tseng, Yuen-Hsien
Abstract
The fast increase in digital images has caught increasing attention on the development of image retrieval technologies. Content-based image retrieval (CBIR) has become an important approach in retrieving image data from a large collection. This article reports our results on the use and users study of a CBIR system. Thirty-eight students majored in art and design were invited to use the IBM’s OBIC (Query by Image Content) system through the Internet. Data from their information needs, behaviors, and retrieval strategies were collected through an in-depth interview, observation, and self-described think-aloud process. Important conclusions are:（1）There are four types of information needs for image data: implicit, inspirational, ever-changing, and purposive. The types of needs may change during the retrieval process. （2）CBIR is suitable for the example-type query, text retrieval is suitable for the scenario-type query, and image browsing is suitable for the symbolic query. （3）Different from text retrieval, detailed description of the query condition may lead to retrieval failure more easily. （4）CBIR is suitable for the domain-specific image collection, not for the images on the Word-Wide Web.
Subjects
Content-based image retrieval
Information seeking behavior
Users study
Publisher
Department of Library and Information Science, National Taiwan University
Type
journal article
File(s)![Thumbnail Image]()
Loading...
Name
v1-4-2.pdf
Size
23.4 KB
Format
Adobe PDF
Checksum
(MD5):e787229ae411f0f4a0b94cf474babc86