A method for single-stimulus quality assessment of segmented video

Authors:
R. Piroddi;T. Vlachos
Affiliations:
Department of Electrical and Electronic Engineering, Imperial College London, London, UK;Centre for Vision, Speech and Signal Processing (CVSSP), School of Electronics and Physical Sciences, University of Surrey, Guildford, UK
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2006

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Abstract

We present a unified method for single-stimulus quality assessment of segmented video. This method takes into consideration colour and motion features of a moving sequence and monitors their changes across segment boundaries. Features are estimated using a local neighbourhood which preserves the topological integrity of segment boundaries. Furthermore the proposed method addresses the problem of unreliable and/or unavailable feature estimates by applying normalized differential convolution (NDC). Our experimental results suggest that the proposed method outperforms competing methods in terms of sensitivity as well as noise immunity for a variety of standard test sequences.