In this paper an efficient method for image retargeting is pro- posed. It relies onto a mechanical model based on springs network. Each pixel displacement (compression or expan- sion) is given by the network response, according to the springs stiffness. The properties of the springs are deter- mined as function of the visual relevance of the pixels. Such model does not require any optimization, since its so- lution is obtained simply from a linear system of equations, allowing real-time application even for large images. The approach is fully automatic, though can be improved by interactively providing cues such as geometric constraints and/or manual relevant object labeling. The results prove that the presented method achieves results comparable or superior to reference methods, while improv- ing efficiency.
Gallea, R., Ardizzone, E., & Pirrone, R. (2011). Springs-based Simulation for Image Retargeting. In Proc. of the 18h International Conference on Image Processing (ICIP 2011) (pp.1181-1184). IEEE Signal Processing Society.
Autori: | Gallea, R.; Ardizzone, E.; Pirrone, R. |
Titolo: | Springs-based Simulation for Image Retargeting |
Settore Scientifico Disciplinare: | Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni |
Data di creazione: | 2011-09 |
Nome del convegno: | 18h International Conference on Image Processing (ICIP 2011) |
Luogo del convegno: | Brussels, Belgium |
Anno del convegno: | Sep. 12 - 14, 2011 |
Data di pubblicazione: | 2011 |
Numero di pagine: | 4 |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1109/ICIP.2011.6115641 |
URL: | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6115641&tag=1 |
Citazione: | Gallea, R., Ardizzone, E., & Pirrone, R. (2011). Springs-based Simulation for Image Retargeting. In Proc. of the 18h International Conference on Image Processing (ICIP 2011) (pp.1181-1184). IEEE Signal Processing Society. |
Tipologia: | 0 - Proceedings (TIPOLOGIA NON ATTIVA) |
Appare nelle tipologie: | 0 - Proceedings (TIPOLOGIA NON ATTIVA) |
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