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Joint feature-based visual quality assessment

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3 Author(s)
Kim, D.-O. ; Sogang Univ., Seoul ; Park, R.-H. ; Sim, D.-G.

A feature-based visual quality measurement method is presented as a reduced-reference approach. The proposed metric, called the joint feature similarity metric, is based on three types of point features extracted from the edge, planar and corner regions. It can characterise video quality in homogeneous and edge regions simultaneously. The effectiveness of the proposed visual quality assessment algorithm is shown with abundant sets of test video sequences.

Published in:

Electronics Letters  (Volume:43 ,  Issue: 21 )