DocumentCode :
3369789
Title :
Reduced-reference quality evaluation for compressed depth maps associated with colour plus depth 3D video
Author :
Hewage, Chaminda T E R ; Martini, Maria G.
Author_Institution :
Wireless, Multimedia & Networking Res. Group, Univ. of Kingston, London, UK
fYear :
2010
fDate :
26-29 Sept. 2010
Firstpage :
4017
Lastpage :
4020
Abstract :
3D video quality assessment is a key task in transmission of immersive video, both for the assessment of end-to-end system performance and for quality evaluation “on the fly”. For example, measured 3D video quality at the receiver side can be used as feedback information for controlling transmission parameters. However, measuring video quality at the receiver side using Full-Reference quality metrics (e.g. PSNR) is less practical due to the need of original image sequence at the receiver. Hence, Reduced-Reference and No-Reference quality metrics are being developed to evaluate the quality. Since edges and contours of the depth map represent different depth levels, this paper proposes a Reduced-Reference quality metric for the depth maps associated with colour plus depth 3D video using edge detection. Edge/Side information (i.e. binary edge mask) generated using sobel filtering is utilized. Results show that the proposed metric can be used in place of a Full-Reference metric with an acceptable accuracy.
Keywords :
data compression; edge detection; filtering theory; image sequences; video coding; 3D video quality assessment; binary edge mask; colour plus depth; compressed depth maps; edge detection; feedback information; full reference quality metrics; image sequence; receiver side; reduced-reference quality evaluation; sobel filtering; transmission parameters; Image coding; Image color analysis; Image edge detection; Measurement; PSNR; Streaming media; Three dimensional displays; Colour plus depth video; Edge detection; Reduced-Reference quality metric; Sobel filtering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
ISSN :
1522-4880
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2010.5653741
Filename :
5653741
Link To Document :
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