• Sunil K
• Lakshmi Narayana T.V
• Raviteja P
• Dinakar P

3D video quality issues that may disturb the human visual system and negatively impact the 3D viewing experience are well known and become more relevant as the availability of 3D video content increases, primarily through 3D cinema, but also through 3D television. In this paper, we propose four algorithms that exploit available stereo disparity in-formation, in order to detect disturbing stereoscopic effects, namely stereoscopic window violations (SWV), bent window effects, UFO objects and depth jump cuts on stereo videos. After detecting such issues, the proposed algorithms char-acterize them, based on the stress they cause to the viewer’s visual system. Qualitative representative examples, quanti-tative experimental results on a custom-made video dataset, a parameter sensitivity study and comments on the compu-tational complexity of the algorithms are provided, in order to assess the accuracy and performance of stereoscopic quality defect detection.

Visual discomfort, 3D quality, stereoscopic video, binocular dis-parity

"Automatic Detection of 3D Quality Defects in Stereoscopic Videos Using Binocular Disparity", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.270-276, June-2024, Available :http://www.jetir.org/papers/JETIRGJ06042.pdf

"Automatic Detection of 3D Quality Defects in Stereoscopic Videos Using Binocular Disparity", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. pp270-276, June-2024, Available at : http://www.jetir.org/papers/JETIRGJ06042.pdf