Spatial Relation for Geometrical / Topological Map Retrieval

Shimizu, Toru; Ikezaki, Masakazu; Watanabe, Toshio; Ushiama, Taketoshi

doi:10.1007/11893004_155

Cited by 3 publications

(1 citation statement)

References 3 publications

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“…Namely, we consider how to attain our objective through the above 4 technical issues successively: indexing focused on position; similarity based on physical measurement; automatic extraction of technicalterms/keywords; and relevant/irrelevant feedback control. These issues have already been investigated individually as our research projects: [22] in 1), [13,22] in 2), [15] in 3), and [11,20] in 4) are ours.…”

Section: Frameworkmentioning

confidence: 98%

A proposal of smart means to retrieve impressively-referred document-page

Watanabe

2015

Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication

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Section: Frameworkmentioning

confidence: 98%

A proposal of smart means to retrieve impressively-referred document-page

Watanabe

2015

Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication

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Modeling Spatial Relationships for Remote Sensing Image Processing Based on Fuzzy Set Theory

Jia

Liu

2008

2008 International Conference on Computer Science and Software Engineering

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Document page retrieval based on geometric layout features

Yan

Watanabe

2013

Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication

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Today, the keyword retrieval method is most standard and popular, and has been widely used in many applications. However, even the keyword retrieval method cannot always satisfy various types of information search subjects, because various kinds of information resources such as image data, graphics data, etc. must be managed in multi-media society, in addition to the worddependent information. Of course, the methods which are more or less applicable to the characteristics of data resources such as structure, design, application, usage, volumn, etc., are necessary to make information-based activities of users successful.In this paper, we address a document page retrieval method based on the characteristics of page layout structure. Although the keyword retrieval method is a very excellent means in document page retrieval, we must pay attention to the case that keyword are not necessarily effective: it is not easy for foreigners to use keywords in different language or it is difficult for children to remember unknown words. In our method, the main idea is to focus on the geometric/positional relationships between characteristic components in identifying the document pages. Moreover, our original viewport is to introduce the inverted index, used commonly in the conventional information retrieval systems, but not to make use of structural/spatial relationship between characteristic components, which are standard in traditional map retrieval systems.

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Spatial Relation for Geometrical / Topological Map Retrieval

Cited by 3 publications

References 3 publications

A proposal of smart means to retrieve impressively-referred document-page

A proposal of smart means to retrieve impressively-referred document-page

Modeling Spatial Relationships for Remote Sensing Image Processing Based on Fuzzy Set Theory

Document page retrieval based on geometric layout features

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