Paper Info
Title
A Novel View-Level Target Bit Rate Distribution Estimation Technique for Real-Time Multi-view Video Plus Depth
Abstract
This paper presents a novel view-level target bit rate distribution estimation technique for real-time Multi-view video plus depth using a statistical model that is based on the prediction mode distribution. Experiments using various standard test sequences show the efficacy of the technique, as the model manages to estimate online the view-level target bit rate distribution with an absolute mean estimation error of 2% and a standard deviation of 0.9%. Moreover, this technique provides adaptation of the view-level bit rate distribution providing scene change handling capability.
Year
DOI
Venue
2012
10.1109/ICME.2012.5
ICME
Keywords
Field
DocType
view-level bit rate distribution,real-time multi-view video plus,standard deviation,prediction mode distribution,real-time multi-view video,rate distribution estimation technique,absolute mean estimation error,statistical model,view-level target bit rate,novel view-level target bit,various standard test sequence,predictive models,estimation theory,encoding,real time systems,statistical distributions,estimation
Signal processing,Computer vision,Computer science,Bit rate,Probability distribution,Statistical model,Artificial intelligence,Estimation theory,Data compression,Standard deviation,Encoding (memory)
Conference
Citations 
PageRank 
References 
3
0.47
9
Authors
2
Name
Order
Citations
PageRank
Mario Cordina1112.41
Carl J. Debono2193.71