Title
Visual relevance evaluation using rate distortion analysis in the circular harmonic functions domain
Abstract
In this paper we develop a strategy for visual relevancy evaluation using Rate Distortion analysis in the Circular Harmonic Functions (CHF) Domain. In the CHF domain, the different visual characteristics of the transformed frames - edges, lines, forks, crosses, etc - are emphasized. Resorting to this domain we analyze a new approach to evaluate the distortion due to an event of video data loss accounting for the visual relevance of individual lost data. In a real video streaming session, distortion measurements taking into account the visual impact of error events can be stored along with pre-coded video sequence so as to drive the strategies for ad-hoc error protection. Numerical simulations show that the approach herein proposed to evaluate the visual impact of loss events in the decoded sequences captures the visual distortion much better than commonly adopted mean square error criteria between the decoded and the original sequence.
Year
DOI
Venue
2009
10.1109/ICIP.2009.5413547
Image Processing
Keywords
Field
DocType
ad-hoc error protection,pre-coded video sequence,chf domain,rate distortion analysis,mean square error criterion,visual distortion,error event,visual relevance,different visual characteristic,circular harmonic functions domain,visual impact,visual relevancy evaluation,visual relevance evaluation,harmonic function,data mining,numerical simulation,numerical analysis,decision support systems,mean square error,rate distortion theory,manganese
Computer vision,Rate distortion,Harmonic function,Data loss,Pattern recognition,Computer science,Video streaming,Mean squared error,Artificial intelligence,Numerical analysis,Rate–distortion theory,Distortion
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4244-5655-0
978-1-4244-5655-0
0
PageRank 
References 
Authors
0.34
6
4
Name
Order
Citations
PageRank
Stefania Colonnese113726.43
Stefano Rinauro2508.72
Lorenzo Rossi3172.62
Gaetano Scarano420931.32