Efficient Content Adaptive Plenoptic Video Coding
| Autor: | Li Lingjun, Chenggang Yan, Yaoqi Sun, Xiao Mang, Jiyong Zhang, Tu Wang, Han Weidong, Jin Xin |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
HEVC
Spatial correlation General Computer Science business.industry Computer science Plenoptic coding General Engineering ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION adaptive Content adaptive Temporal correlation MV-HEVC Residual Correlation MVC Correlation analysis General Materials Science Computer vision Artificial intelligence lcsh:Electrical engineering. Electronics. Nuclear engineering content-based Bitstream business lcsh:TK1-9971 Coding (social sciences) |
| Zdroj: | IEEE Access, Vol 8, Pp 5797-5804 (2020) |
| ISSN: | 2169-3536 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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