Edge Detection for 3 Dimensional Video Quality Assessment

Year 2023, Volume: 3 Issue: 1, 50 - 53, 30.06.2023

Gökçe Nur Yılmaz Yücel Çimtay

Abstract

The impact of 3 Dimensional (3D) video technologies on user perception of 3D videos can only be highlighted by considering the impact of these technologies on user perception of 3D videos. It is true that enabling this can be accomplished by taking into account the crucial criteria of defining the nature of a 3D video. Under the light of this fact, an edge detection algorithm relying on the Canny edge detector, is used to derive preliminary results to develop a No Reference (NR) model for the VQA of a 3D video. The performance evaluation results obtained by using the proposed algorithm prove that proposed study is quite effective in the VQA of a 3D video.

Keywords

3D video, edge detection, video quality assessment

Supporting Institution

Tubitak

Project Number

122E015

References

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