Quality assessment of synthesized 3D video with distorted depth map

Hsin Che Liu, Hsueh-Ming Hang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In the virtual-view 3D video coding system, both the RGB image data and the depth maps are compressed and translated to the receivers. After compression, the depth maps are distorted and may cause visible artifacts on the synthesized video. We study the visual effect of compressed depth maps on the synthesized video and develop a quality assessment model that predicts the subjective quality. We use HEVC Test Model (HTM) to compress the depth maps. The distorted depth value may lead to ghost artifacts around object edges and unnatural object motion on the synthesized video. In our proposed quality assessment (QA) model, we use SSIM to compute the basic score of stereo image pair; we extract the edge, motion, and depth features of stereo pairs and combine them to form a local weight to increase the sensitivity of the noticeable regions. We use the binocular perception model to calculate the score of stereo pairs. We conduct our own subjective tests. The results of our experiments show that our model has a better match to the subjective scores when it is compared with the other existing metrics.

Original languageEnglish
Title of host publication2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1054-1057
Number of pages4
ISBN (Electronic)9781479970889
DOIs
StatePublished - 5 Feb 2014
Event2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014 - Atlanta, United States
Duration: 3 Dec 20145 Dec 2014

Publication series

Name2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014

Conference

Conference2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014
CountryUnited States
CityAtlanta
Period3/12/145/12/14

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