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Publication details
Main information
Title:
Summarised presentation of personal photo sets
Publication date:
January 2014
Citation:
Datia2014
Abstract:
People produce an increasing amount of digital photos to document events. Searching for a specific event can result in more photos than people can handle, making difficult judging their relevance. This paper presents a new algorithm, that summarises a set of photos described by attributes at different concept levels. It addresses the well-known human weakness to deal with large collections of distinct items, by presenting a low cardinality partition set. Each group yields a compact, yet distinct, description. The evaluation, including user tests, shows the algorithm outperforms others in context separation and informative power about the set being summarised.
In proceedings
Authors:
N. Datia,
João Moura Pires
, Nuno Correia
Book title:
MultiMedia Modelling 2014
Series:
-
Publisher:
-
Address:
-
Volume:
-
Pages:
-
ISBN:
-
ISSN:
-
Note:
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Plain text:
N. Datia and João Moura Pires and Nuno Correia, Summarised presentation of personal photo sets, , MultiMedia Modelling 2014, January 2014.
HTML:
N. Datia, <a href="/people/members/view.php?code=542b14e1830dcf7566974fd36b6fccc7" class="author">João Moura Pires</a> and Nuno Correia, <b>Summarised presentation of personal photo sets</b>, <u>MultiMedia Modelling 2014</u>, January 2014.
BibTeX:
@inproceedings {Datia2014, author = {N. Datia and Jo{\~a}o Moura Pires and Nuno Correia}, title = {Summarised presentation of personal photo sets}, booktitle = {MultiMedia Modelling 2014}, abstract = {People produce an increasing amount of digital photos to document events. Searching for a specific event can result in more photos than people can handle, making difficult judging their relevance. This paper presents a new algorithm, that summarises a set of photos described by attributes at different concept levels. It addresses the well-known human weakness to deal with large collections of distinct items, by presenting a low cardinality partition set. Each group yields a compact, yet distinct, description. The evaluation, including user tests, shows the algorithm outperforms others in context separation and informative power about the set being summarised.}, month = {January}, year = {2014}, }
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