Deep Blind Evaluation of the Quality of the Use of Graphic Form Analysis

mutakana Viswanatha Reddy, Mrs.G. Satya Prabha


Multiview videos plus depth (MVD) is a popular 3D video representation where pixel depth information is exploited to generate additional views to provide 3D experience. Quality assessment of MVD data is of paramount importance since the latest research results show that existing 2D quality metrics are not suitable for MVD. This paper focuses on depth quality assessment and presents a novel algorithm to estimate the distortion in depth videos induced by compression. The proposed algorithm is noreference and does not require any prior training or modeling. The proposed method is based solely on the statistical analysis of the compression sensitive pixels of depth images. The experimental results worked out on a standard MVD dataset show that the proposed algorithm exhibits a very high correlation with conventional full-reference metrics.

Full Text:



  • There are currently no refbacks.

Copyright (c) 2016 Edupedia Publications Pvt Ltd

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.


EduPedia Publications Pvt Ltd, D-351, Prem Nagar-2, Suleman Nagar, Kirari, Nagloi, New Delhi PIN-Code 110086, India Through Phone Call us now: +919958037887 or +919557022047

All published Articles are Open Access at

Paper submission: or


Mobile:                  +919557022047 & +919958037887


Journals Maintained and Hosted by

EduPedia Publications (P) Ltd in Association with Other Institutional Partners

Pen2Print and IJR are registered trademark of the Edupedia Publications Pvt Ltd.