A parameter adjustment method for relevance feedback
Contribuinte(s) |
Arabnia, Hamid Mun, Youngsong |
---|---|
Data(s) |
01/01/2003
|
Resumo |
Various relevance feedback techniques have been applied in Content-Based Image Retrieval (CBIR). By using relevance feedback, CBIR allows the user to progressively refine the system's response to a query. In this paper, after analyzing the feature distributions of positive and negative feedbacks, a new parameter adjustment method for iteratively improving the query vector and adjusting the weights is proposed. Experimental results demonstrate the effectiveness of this method.<br /> |
Identificador | |
Idioma(s) |
eng |
Publicador |
CSREA Press |
Relação |
http://dro.deakin.edu.au/eserv/DU:30009584/chowdhury-parameteradjustment-2003.pdf |
Direitos |
2003, CSREA Press |
Tipo |
Conference Paper |