NDLI: Synthesis quality prediction model based on distortion intolerance

Content Provider	IEEE Xplore Digital Library
Author	Ryu, Seungchul Kim, Seungryong Sohn, Kwanghoon
Copyright Year	2014
Description	Author affiliation: Digital Image Media Lab (DIML) Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea (Ryu, Seungchul; Kim, Seungryong; Sohn, Kwanghoon)
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.
Starting Page	585
Ending Page	589
File Size	133460
Page Count	5
File Format	PDF
ISBN	9781479957514
DOI	10.1109/ICIP.2014.7025117
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-27
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predictive models Three-dimensional displays Quality of service Color Image color analysis Nonlinear distortion Image quality depth quality model synthesis quality prediction model synthesis distortion intolerance
Content Type	Text
Resource Type	Article

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