Archivio istituzionale della ricerca dell'Università degli Studi di Palermo
IRIS è il sistema di gestione integrata dei dati della ricerca (persone, pubblicazioni, progetti, attività) adottato dall’Università di Palermo, e ha lo scopo di raccogliere, conservare, documentare, e diffondere ad accesso aperto le informazioni relative alla produzione scientifica degli autori afferenti all’Ateneo.
EnglishThe inherently multidimensional problem of evaluating the complexity of an image is of a certain relevance in both computer science and cognitive psychology. Computer scientists usually analyze spatial dimensions in order to deal with automatic vision problems, such as feature extraction. Psychologists seem more interested in the temporal dimension of complexity, as a means to explore attentional models. Is it possible to define, by merging both approaches, a more general index of visual complexity? The aim of this paper is the definition of objective measures of image complexity that fits with the so named perceived time. Towards the end we have defined a fuzzy mathematical model of visual complexity, based on fuzzy measures of entropy; the results obtained by applying this model to a set of pictorial images present a strong correlation with the outcomes of an experiment with human subjects, based on variation of subjective temporal estimations associated with changes in visual attentional load, which is also described herein.
Cardaci, M., DI GESU', V., Petrou, M., & Tabacchi, M. (2009). A fuzzy approach to the evaluation of image complexity. FUZZY SETS AND SYSTEMS, 160(10), 1474-1484 [10.1016/j.fss.2008.11.017].
| Data di pubblicazione: | 2009 | |
| Titolo: | A fuzzy approach to the evaluation of image complexity | |
| Autori: | ||
| Citazione: | Cardaci, M., DI GESU', V., Petrou, M., & Tabacchi, M. (2009). A fuzzy approach to the evaluation of image complexity. FUZZY SETS AND SYSTEMS, 160(10), 1474-1484 [10.1016/j.fss.2008.11.017]. | |
| Rivista: | ||
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1016/j.fss.2008.11.017 | |
| Abstract: | The inherently multidimensional problem of evaluating the complexity of an image is of a certain relevance in both computer science and cognitive psychology. Computer scientists usually analyze spatial dimensions in order to deal with automatic vision problems, such as feature extraction. Psychologists seem more interested in the temporal dimension of complexity, as a means to explore attentional models. Is it possible to define, by merging both approaches, a more general index of visual complexity? The aim of this paper is the definition of objective measures of image complexity that fits with the so named perceived time. Towards the end we have defined a fuzzy mathematical model of visual complexity, based on fuzzy measures of entropy; the results obtained by applying this model to a set of pictorial images present a strong correlation with the outcomes of an experiment with human subjects, based on variation of subjective temporal estimations associated with changes in visual attentional load, which is also described herein. | |
| Settore Scientifico Disciplinare: | Settore INF/01 - Informatica | |
| Appare nelle tipologie: | 1.01 Articolo in rivista |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| 2009-cardaci-a fuzzy approach to .pdf | N/A | Administrator Richiedi una copia |
http://hdl.handle.net/10447/40549
Copyright © 2022