ETRI Journal

  • 제38권6호
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  • Pages.1114-1123
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  • 2016
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  • 1225-6463(pISSN)
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  • 2233-7326(eISSN)
한국전자통신연구원 (Electronics and Telecommunications Research Institute)
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Reduced Reference Quality Metric for Synthesized Virtual Views in 3DTV

  • Le, Thanh Ha (Faculty of Information Technology, University of Engineering and Technology, Vietnam National University) ;
  • Long, Vuong Tung (Faculty of Information Technology, University of Engineering and Technology, Vietnam National University) ;
  • Duong, Dinh Trieu (Faculty of Information Technology, University of Engineering and Technology, Vietnam National University) ;
  • Jung, Seung-Won (Department of Multimedia Engineering, Dongguk University)
  • 투고 : 2016.04.15
  • 심사 : 2016.11.03
  • 발행 : 2016.12.01
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초록

Multi-view video plus depth (MVD) has been widely used owing to its effectiveness in three-dimensional data representation. Using MVD, color videos with only a limited number of real viewpoints are compressed and transmitted along with captured or estimated depth videos. Because the synthesized views are generated from decoded real views, their original reference views do not exist at either the transmitter or receiver. Therefore, it is challenging to define an efficient metric to evaluate the quality of synthesized images. We propose a novel metric-the reduced-reference quality metric. First, the effects of depth distortion on the quality of synthesized images are analyzed. We then employ the high correlation between the local depth distortions and local color characteristics of the decoded depth and color images, respectively, to achieve an efficient depth quality metric for each real view. Finally, the objective quality metric of the synthesized views is obtained by combining all the depth quality metrics obtained from the decoded real views. The experimental results show that the proposed quality metric correlates very well with full reference image and video quality metrics.

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참고문헌

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피인용 문헌

  1. Quality Assessment of DIBR-Synthesized Images by Measuring Local Geometric Distortions and Global Sharpness vol.20, pp.4, 2016, https://doi.org/10.1109/tmm.2017.2760062