A full reference stereoscopic video quality assessment metric

Appina, B and K, Manasa and Channappayya, S S (2017) A full reference stereoscopic video quality assessment metric. In: IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP, 5-9 March 2017, Hilton New Orleans Riverside, New Orleans; United States.

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Abstract

We propose a full reference stereo video quality assessment algorithm for assessing the perceptual quality of natural stereo videos. We exploit the separable representation of motion and binocular disparity in the visual cortex and develop a four stage algorithm to measure the quality of a stereoscopic video called FLOSIM3D. First, we compute the temporal features by utilizing an existing 2D VQA metric which measures the temporal annoyance based on patch level statistics such as mean, variance and minimum eigen value and pools them with a frame categorization based non-linear pooling strategy. Second, a structure based 2D Image Quality Assessment (IQA) metric is used to compute the spatial quality of the frames. Next, the loss in depth cues is measured using a structure based metric. Finally, the features for each of the stereo views are pooled to obtain the final stereo video quality score. We demonstrate the state-of-the-art performance of the proposed metric on IRCCYN dataset involving H.264, JP2K compression artifacts.

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IITH Creators:
IITH CreatorsORCiD
Channappayya, S SUNSPECIFIED
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: depth; full reference video quality assessment; motion Stereo
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 08 Aug 2017 09:22
Last Modified: 10 Aug 2017 05:56
URI: http://raiith.iith.ac.in/id/eprint/3471
Publisher URL: https://doi.org/10.1109/ICASSP.2017.7952509
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