Relevance feedback based on n-tuplewise comparison and the ELECTRE methodology and an application in content-based image retrieval
PBN-AR
Instytucja
Wydział Elektrotechniki, Automatyki, Informatyki i Inżynierii Biomedycznej (Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie)
Informacje podstawowe
Główny język publikacji
EN
Czasopismo
Multimedia Tools and Applications
ISSN
1380-7501
EISSN
1573-7721
Wydawca
Springer
Rok publikacji
2014
Numer zeszytu
1
Strony od-do
667--685
Numer tomu
72
Link do pełnego tekstu
Identyfikator DOI
Liczba arkuszy
1.4
Autorzy
(liczba autorów: 1)
Słowa kluczowe
EN
content-based image retrieval
multiple criteria analysis
relational MCDM
ELECTRE III
preference elicitation
Streszczenia
Język
EN
Treść
In this article we propose a method for information retrieval based on relational Multi-Criteria Decision Making. We assume that a user cannot define precise search criteria so that these criteria must be found based on the user's assessment of several sample alternatives ('alternatives' here are database records, e.g. images). This situation is common in Content-based Image Retrieval, where it is easier for a user to indicate relevant images than to describe a proper query, especially in formal language. The proposed algorithm for the elicitation of criteria is based on ELECTRE III-a method originally designed for ranking a set of alternatives according to defined criteria. In our algorithm, however, the direction of reasoning is reversed: we start with several sample alternatives that have been assigned a rank by the user and then we select criteria that are compatible (in the sense of ELECTRE methodology) with the user's preferences expressed on a sample set. Then, having determined the user's criteria, we apply classical ELECTRE III to retrieve the relevant solutions from the database. We implemented the method in Matlab and tested it on the Microsoft Cambridge Image Database.
Cechy publikacji
original article
peer-reviewed
Inne
System-identifier
idp:084274
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