Back to first pageBack to first page Centre for Artificial Intelligence of UNL
Browse our site
You are here:

Publication details

Publication details
Main information
Summarised presentation of personal photo sets
January 2014
Datia2014
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
N. Datia, João Moura Pires, Nuno Correia
MultiMedia Modelling 2014
-
-
-
-
-
-
-
-
-
Export formats
N. Datia and João Moura Pires and Nuno Correia, Summarised presentation of personal photo sets, , MultiMedia Modelling 2014, January 2014.
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.
@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}, }
Publication's urls
/publications/view.php?code=b326cbcfdf1208a6a0d475ec8e2786ea
/publications/view.php?code=Datia2014

Centre for Artificial Intelligence of UNL
Departamento de Informática, FCT/UNL
Quinta da Torre 2829-516 CAPARICA - Portugal
Tel. (+351) 21 294 8536 FAX (+351) 21 294 8541

Fundacao_FCT