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Using a Thematic Model to Enrich Photo Montages

Using a Thematic Model to Enrich Photo Montages
Using a Thematic Model to Enrich Photo Montages
Narrative systems attempt to present users with media collections that include some element of structure or story, however these collections can lack an authorial voice and seem bland as a result. In this paper we explore how themes could be used to enrich automatically generated narratives, and describe how a system which generated story selections in the form of photo montages was developed using a thematic model of narrative. This was achieved by selecting narrative atoms, in this case photographs, from a selection of images on a specific subject with relevance to a desired theme. Our pilot study shows that our thematic system selects images with greater relevance to desired titles, and that the positive impact of thematic selection increases when the images are presented together. We hope that our thematic work will inform others working on narrative systems, and will lead to richer automated narratives.
Hargood, Charlie
9c24b7b0-ee48-41ba-9868-5b97b804f7d3
Millard, David
4f19bca5-80dc-4533-a101-89a5a0e3b372
Weal, Mark
e8fd30a6-c060-41c5-b388-ca52c81032a4
Hargood, Charlie
9c24b7b0-ee48-41ba-9868-5b97b804f7d3
Millard, David
4f19bca5-80dc-4533-a101-89a5a0e3b372
Weal, Mark
e8fd30a6-c060-41c5-b388-ca52c81032a4

Hargood, Charlie, Millard, David and Weal, Mark (2009) Using a Thematic Model to Enrich Photo Montages. Hypertext 09.

Record type: Conference or Workshop Item (Paper)

Abstract

Narrative systems attempt to present users with media collections that include some element of structure or story, however these collections can lack an authorial voice and seem bland as a result. In this paper we explore how themes could be used to enrich automatically generated narratives, and describe how a system which generated story selections in the form of photo montages was developed using a thematic model of narrative. This was achieved by selecting narrative atoms, in this case photographs, from a selection of images on a specific subject with relevance to a desired theme. Our pilot study shows that our thematic system selects images with greater relevance to desired titles, and that the positive impact of thematic selection increases when the images are presented together. We hope that our thematic work will inform others working on narrative systems, and will lead to richer automated narratives.

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More information

Published date: 1 July 2009
Venue - Dates: Hypertext 09, 2009-07-01
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 267540
URI: https://eprints.soton.ac.uk/id/eprint/267540
PURE UUID: 6ca6e330-e126-40cf-a436-8463b7b365bc
ORCID for David Millard: ORCID iD orcid.org/0000-0002-7512-2710
ORCID for Mark Weal: ORCID iD orcid.org/0000-0001-6251-8786

Catalogue record

Date deposited: 09 Jun 2009 13:12
Last modified: 06 Jun 2018 13:08

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Contributors

Author: Charlie Hargood
Author: David Millard ORCID iD
Author: Mark Weal ORCID iD

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