UZH-Logo

Maintenance Infos

Eliciting concepts of place for text-based image retrieval


Edwardes, Alistair J; Purves, Ross S (2007). Eliciting concepts of place for text-based image retrieval. In: 4th ACM Workshop on Geographical Information Retrieval, CIKM 2007, Lissabon (P), 6 November 2007 - 10 November 2007, 15-18.

Abstract

This paper describes research being employed in the Tripod project to improve the retrieval of photographs through a comprehensive knowledge of where they were taken. The methods described here attempt to elicit semantics, and thus terms for use in indexing, related to the idea of place from theoretical geography. Three approaches are outlined: literature-based, empirical experiments, and data mining.

This paper describes research being employed in the Tripod project to improve the retrieval of photographs through a comprehensive knowledge of where they were taken. The methods described here attempt to elicit semantics, and thus terms for use in indexing, related to the idea of place from theoretical geography. Three approaches are outlined: literature-based, empirical experiments, and data mining.

Altmetrics

Downloads

2 downloads since deposited on 24 Apr 2013
0 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Conference or Workshop Item (Paper), not refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Event End Date:10 November 2007
Deposited On:24 Apr 2013 09:25
Last Modified:05 Apr 2016 16:45
Publisher:ACM
ISBN:978-1-59593-828-2
Official URL:http://dl.acm.org/citation.cfm?id=1316953
Permanent URL: https://doi.org/10.5167/uzh-77763

Download

[img]
Content: Published Version
Filetype: PDF - Registered users only
Size: 1MB

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations