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Feature Based No-Reference Continuous Video Quality Prediction Model for Coded Stereo Video

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In this paper, we propose a continuous no-reference video quality evaluation model for MPEG-2 [email protected] coded stereoscopic video based on spatial, temporal, and disparity features with the incorporation of human visual system characteristics. We believe edge distortion is a major concern to perceive spatial distortion throughout any image frame which is strongly dependent on smooth and non-smooth areas of the frame. We also claim that perceived depth of any image/video is mainly dependent on central objects/structures of the image/video contents. Thus, visibility of depth is firmly dependent on the objects' distance such as near, far, and very far. Subsequently, temporal perception is mostly based on jerkiness of video and it is dependent on motion as well as scene content of the video. Therefore, segmented local features such as smooth and non-smooth area based edge distortion, and the objects' distance based depth measures are evaluated in this method. Subsequently, video jerkiness is estimated based on segmented temporal information. Different weighting factors are then applied for the different edge distortion and depth features to measure the overall features of a temporal segment. All features are calculated separately for each temporal segment in this method. Subjective stereo video database, which considered both symmetric and asymmetric coded videos, is used to verify the performance of the model. The result indicates that our proposed model has sufficient prediction performance.
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Document Type: Research Article

Publication date: January 1, 2012

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  • Started in 2002 and merged with the Color and Imaging Conference (CIC) in 2014, CGIV covered a wide range of topics related to colour and visual information, including color science, computational color, color in computer graphics, color reproduction, volor vision/psychophysics, color image quality, color image processing, and multispectral color science. Drawing papers from researchers, scientists, and engineers worldwide, DGIV offered attendees a unique experience to share with colleagues in industry and academic, and on national and international standards committees. Held every year in Europe, DGIV papers were more academic in their focus and had high student participation rates.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual papers for details.

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