.png){kind=icon}
Return
Efficient Multiview Video Coding Using 3-D Coding and Saliency-Based Bit Allocation
.png){kind=icon}
PRE
AI
DOI：10.1109/TBC.2017.2781118.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Capturing a scene using multiple cameras from different angles is expected to provide the necessary interactivity in the 3-D space to satisfy end-users' demands for observing objects and actions from different angles and depths. Existing multiview video coding (MVC) technologies face tradeoff among rate-distortion performance, random access frame delay, i.e., interactivity, and computational time. To address above mentioned tradeoffs, a novel cuboid MVC strategy is proposed with 3-D frame referencing structure to improve interactivity and computational time, an additional reference frame to improve rate-distortion performance for occluded areas, and visual attention-based bit allocation to provide better perceptual video quality. The experimental results reveal that the proposed scheme provides better interactivity, reduced computational time, and better perceptual quality compared to the 3D-HEVC implementation, HTM 15.0.
Keywords:
3D motion estimation
3D DCT
uncovered background
visual attention modeling
variable bit allocation
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4.8
Papers:
2.1K
Citations:
3.0K
Organization
Cited Papers
.png){kind=icon}
ShareSave
ShareSaveShareSaveShareSaveCo-scheduler: Accelerating Data-Parallel Jobs in Datacenter Networks with Optical Circuit Switching
PREAI
ShareSave
View more