IMAGE QUALITY ASSESSMENT and CONFORMANCE TESTING

Objective assessment of MPEG-2 video quality

[+] Author Affiliations
Paolo Gastaldo, Rodolfo Zunino

University of Genoa, Department of Biophysical and Electronic Engineering, Via all’Opera Pia 11a, 16145 Genova, Italy E-mail: zunino@dibe.unige.it

Stefano Rovetta

University of Genoa, INFM, Department of Computer and Information Sciences, Via Dodecaneso 35, 16146 Genova, Italy

J. Electron. Imaging. 11(3), 365-374 (Jul 01, 2002). doi:10.1117/1.1479703
History: Received Sep. 4, 2001; Revised Feb. 4, 2002; Accepted Feb. 4, 2002; Online July 25, 2002
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The increasing use of video compression standards in broadcasting television systems has required, in recent years, the development of video quality measurements that take into account artifacts specifically caused by digital compression techniques. In this paper we present a methodology for the objective quality assessment of MPEG video streams by using circular back-propagation feedforward neural networks. Mapping neural networks can render nonlinear relationships between objective features and subjective judgments, thus avoiding any simplifying assumption on the complexity of the model. The neural network processes an instantaneous set of input values, and yields an associated estimate of perceived quality. Therefore, the neural-network approach turns objective quality assessment into adaptive modeling of subjective perception. The objective features used for the estimate are chosen according to the assessed relevance to perceived quality and are continuously extracted in real time from compressed video streams. The overall system mimics perception but does not require any analytical model of the underlying physical phenomenon. The capability to process compressed video streams represents an important advantage over existing approaches, like avoiding the stream-decoding process greatly enhances real-time performance. Experimental results confirm that the system provides satisfactory, continuous-time approximations for actual scoring curves concerning real test videos. © 2002 SPIE and IS&T.

© 2002 SPIE and IS&T

Citation

Paolo Gastaldo ; Rodolfo Zunino and Stefano Rovetta
"Objective assessment of MPEG-2 video quality", J. Electron. Imaging. 11(3), 365-374 (Jul 01, 2002). ; http://dx.doi.org/10.1117/1.1479703


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