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ICASSP
2009
IEEE

A reduced-reference video structural similarity metric based on no-reference estimation of channel-induced distortion

9 years 5 months ago
A reduced-reference video structural similarity metric based on no-reference estimation of channel-induced distortion
The reduced-reference (RR) approximation of a full-reference (FR) video quality assessment method is a convenient way to build evaluation metrics which are both intrinsically well correlated with human judgments and feasible to implement in a network scenario, without the need to explore the perceptual significance of new video features through mean opinion score tests. In this paper, we propose a RR approximation of the video structural similarity index (VSSIM), a FR metric which is known to be well descriptive of the video quality perceived by users. We focus on the visual degradation produced by channel transmission errors: first, at the encoder, a small set of salient structural video features is assembled and transmitted through the RR channel to the end-user; then, at the decoder the feature vector is combined with a fine-granularity, no-reference estimate of the channel-induced distortion to produce the VSSIM approximation. By uniformly quantizing the feature vector and compres...
Andrea Albonico, Giuseppe Valenzise, Matteo Naccar
Added 18 Feb 2011
Updated 18 Feb 2011
Type Journal
Year 2009
Where ICASSP
Authors Andrea Albonico, Giuseppe Valenzise, Matteo Naccari, Marco Tagliasacchi, Stefano Tubaro
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