Synthesis quality prediction model based on distortion intolerance

Seungchul Ryu, Seungryong Kim, Kwanghoon Sohn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Free-viewpoint video system will provide viewers with freedom to navigate through the scene at different viewpoints. In the system, arbitrary viewpoints of videos are synthesized by the depth image-based rendering with multi-view plus depth videos. Despite the widespread of technologies for free-viewpoint video system, the field of quality assessment for the free-viewpoint video, especially the quality prediction of a synthesized image, has not yet been thoroughly investigated. This paper analyzes how distortions in color and depth images influence on the quality of a synthesized image. Then, an objective quality prediction model for a synthesized image is proposed based on the concept of intolerance of synthesis distortion. Experimental results show that the proposed model provides outstanding performance in predicting the quality of a synthesized image compared to other models.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Image Processing, ICIP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages585-589
Number of pages5
ISBN (Electronic)9781479957514
DOIs
Publication statusPublished - 2014 Jan 28

Publication series

Name2014 IEEE International Conference on Image Processing, ICIP 2014

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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    Ryu, S., Kim, S., & Sohn, K. (2014). Synthesis quality prediction model based on distortion intolerance. In 2014 IEEE International Conference on Image Processing, ICIP 2014 (pp. 585-589). [7025117] (2014 IEEE International Conference on Image Processing, ICIP 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIP.2014.7025117