An open source agenda for research linking text and image content features
Abby A. Goodrum,
Mark E. Rorvig,
Ki‐Tai Jeong and
Chitturi Suresh
Journal of the American Society for Information Science and Technology, 2001, vol. 52, issue 11, 948-953
Abstract:
The use of primitive content features of images for classification and retrieval has matured over the past decade. However, human beings often prefer to locate images using words. This article proposes a number of methods to utilize image primitives to support term assignment for image classification. Further, the authors propose to release code for image analysis in a common tool set for other researchers to use. Of particular interest to the authors is the expansion of work by researchers in image indexing to include image content based feature extraction capabilities in their work.
Date: 2001
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1002/asi.1147
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:jamist:v:52:y:2001:i:11:p:948-953
Ordering information: This journal article can be ordered from
https://doi.org/10.1002/(ISSN)1532-2890
Access Statistics for this article
More articles in Journal of the American Society for Information Science and Technology from Association for Information Science & Technology
Bibliographic data for series maintained by Wiley Content Delivery ().