The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Learning landmark salience models from users’ route instructions
Abstract
Route instructions for pedestrians are usually better understood if they include references to landmarks, and moreover, these landmarks should be as salient as possible. In this paper, we present an approach for automatically deriving a mathematical model of salience directly from route instructions given by humans. Each possible landmark that a person can refer to in a given situation is modelled as a feature vector, and the salience associated with each landmark can be computed as a weighted sum of these features. We use a ranking SVM method to derive the weights from route instructions given by humans as they are walking the route. The weight vector, representing the person’s personal salience model, determines which landmark(s) are most appropriate to refer to in new situations.
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Structural salience is as important as visual salience in assessing the predictive GIS models of key zones within the cultural landscape.
“Structural salience is as important as visual salience in assessing the predictive GIS models of key zones within the cultural landscape (Caduff & Timpf 2008; Götze & Boye 2016; Röser et al. 2012).”
From Exploratory GIS: modelling past land use and occupancy with functional connectivity, willandra lakes region world heritage area, NSW, australia (2022) · cites this paper as Götze & Boye 2016
Structural salience is as important as visual salience in assessing predictive GIS models of key zones within the cultural landscape.
“Structural salience is as important as visual salience in assessing the predictive GIS models of key zones within the cultural landscape (Caduff & Timpf 2008; Götze & Boye 2016; Röser et al. 2012).”
From Exploratory GIS: modelling past land use and occupancy with functional connectivity, willandra lakes region world heritage area, NSW, australia (2022) · cites this paper as Götze & Boye 2016
Citations
Cites
The Nature of Landmarks for Real and Electronic Spaces
Sorrows, M. E., & Hirtle, S. C. (1999) · Lecture Notes in Computer Science · doi:10.1007/3-540-48384-5_3 · Cited by 478
Selection of Salient Features for Route Directions
Nothegger, C., Winter, S., & Raubal, M. (2004) · Spatial Cognition & Computation · doi:10.1207/s15427633scc0402_1 · Cited by 181
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Cited by
Sorted by citations
Thomas, K. (2022) · Journal of Computer Applications in Archaeology · doi:10.5334/jcaa.98 · Cited by 1
Metadata
- Authors
- Götze, J., & Boye, J.
- Venue
- Journal of Location Based Services
- Publisher
- Informa UK Limited
- Published
- 2016-01-02
- Volume
- 10
- Issue
- 1
- Pages
- 47-63
- ISSN
- 1748-9725
- 1748-9733
- Cited by
- 24
- References
- 2
- Language
- en
- Funders
- Vetenskapsrådet (VR-2013-4854)
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