Title :
Depth-Discrepancy-Compensated Inter-Prediction With Adaptive Segment Management for Multiview Depth Video Coding
Author :
Min-Koo Kang ; Kuk-Jin Yoon
Author_Institution :
Sch. of Inf. & Commun., Gwangju Inst. of Sci. & Technol. (GIST), Gwangju, South Korea
Abstract :
One of the most frequently encountered problems in multiview depth video coding (MDVC) is the relatively low temporal and inter-view correlations when compared to that of multiview color video coding (MCVC). This directly results in degraded performance of the conventional inter-prediction. In this study, we analyze noticeable differences in statistical characteristics between MDVC and MCVC. On the basis of these differences, we propose a new depth-discrepancy compensation (DDC) method with adaptive segment management to alleviate the performance degradation. Experimental results show that the proposed method performs better than the original inter-prediction of JMVC v8.2 in terms of depth bit-savings and synthesized view quality.
Keywords :
statistical analysis; video coding; DDC method; JMVC v8.2; MCVC; MDVC; adaptive segment management; depth bit-savings; depth-discrepancy-compensated interprediction; interview correlation; low-temporal correlation; multiview color video coding; multiview depth video coding; statistical characteristics; view quality synthesis; Bit rate; Correlation; Encoding; Image color analysis; Streaming media; Three-dimensional displays; Video coding; 3D video; depth coding; inter-prediction; multiview video coding (MVC);
Journal_Title :
Multimedia, IEEE Transactions on
DOI :
10.1109/TMM.2014.2323939