Efficient automatic detection of 3D video artifacts

Mohan Liu, Patrick Ndjiki-Nya, Jean-Charles Le Quintrec, Nikos Nikolaidis, Ioannis Pitas

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

2 Citations (Scopus)
325 Downloads (Pure)


This paper summarizes some common artifacts in stereo video content. These artifacts lead to poor even uncomfortable 3D viewing experience. Efficient approaches for detecting three typical artifacts, sharpness mismatch, synchronization mismatch and stereoscopic window violation, are presented in detail. Sharpness mismatch is estimated by measuring the width deviations of edge pairs in depth planes. Synchronization mismatch is detected based on the motion inconsistencies of feature points between the stereoscopic channels in a short time frame. Stereoscopic window violation is detected, using connected component analysis, when objects hit the vertical frame boundaries while being in front of the virtual screen. For experiments, test sequences were created in a professional studio environment and state-of-the-art metrics were used for evaluating the proposed approaches. The experimental results show that our algorithms have considerable robustness in detecting 3D defects.
Original languageEnglish
Title of host publication2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP 2014)
Subtitle of host publicationProceedings of a meeting held 22-24 September 2014, Jakarta, Indonesia
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)9781479958962
ISBN (Print)9781479958979
Publication statusPublished - Jan 2015
EventIEEE 16th International Workshop on Multimedia Signal Processing (MMSP2014 - Jakarta, Indonesia
Duration: 22 Sep 201424 Sep 2014


ConferenceIEEE 16th International Workshop on Multimedia Signal Processing (MMSP2014


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