Abstract
In this paper, a content adaptive coding method for plenoptic video is proposed to reduce both of the spatial and temporal redundancy. Based on the spatial correlations among subapertures, the plenoptic video is divided into two subaperture groups: the central view videos and the residual videos. Coding methods, multiview coding method based on spatial correlation(S-MVC) and multiview coding method based on temporal correlation(T-MVC), are adopted for residual videos according to correlation and residual energy analysis, while the central view videos are always encoded by S-MVC. Correlation analysis is performed first, and residual energy analysis is further performed if necessary. Coding the central view videos and the residual videos separately reduces bitstream, choosing different encoding methods for residual videos makes full use of the characteristics of different video content. Both the central view videos and the residual videos are compressed by MV-HEVC. The experimental results demonstrate that the proposed method outperforms a pseudo-sequence-based MVC method for plenoptic video by an average of 25.06% bitrate saving.
Highlights
Plenoptic video is based on a basic concept, light field
The plenoptic video is divided into two subaperture groups: the central view videos and the residual videos
In order to analyze whether S-Multiview video coding (MVC) is more efficient than T-MVC in most cases, we calculated the correlations of interviews and inter-frames for the central view videos of several test materials by using the method mentioned above
Summary
WANG TU 1, XIN JIN 2, (Senior Member, IEEE), LINGJUN LI2, CHENGGANG YAN 1, YAOQI SUN1, MANG XIAO3, WEIDONG HAN4, AND JIYONG ZHANG 1.
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