New Stereo Video Quality Assessment Metric for Three Dimensional Video Systems

Provided by: Academy Publisher
Topic: Enterprise Software
Format: PDF
Since traditional two dimensional video quality metrics are not suitable for evaluating stereo video, a new stereo video quality metric based on Support Vector Regression (SVR) for three dimensional video systems is proposed in this paper. Firstly, three factors affecting the quality of stereo video are analyzed, namely left-view video quality, right-view video quality and difference between two views. Then, each of these factors is calculated respectively with measuring the singular vectors' similarity between original image blocks and distorted image blocks and with temporal weighting using fluctuations of video frames' spatial quality.

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