Segmentation-Based Seam Cutting for High-Resolution 360-Degree Video Stitching

Segmentation-Based Seam Cutting for High-Resolution 360-Degree Video Stitching

We present a novel segmentation-based seam cutting algorithm to generate visually plausible high-resolution 360-degree video efficiently. While the demand for an efficient video stitching algorithm for generating immersive videos has increased, it has received limited attention in the literature. Fu...

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Bibliographic Details
Main Authors: Taeha Kim, Seongyeop Yang, Byeongkeun Kang, Heekyung Lee, Jeongil Seo, Yeejin Lee
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Video stitching
image stitching
seam estimation
360-degree video
instance segmentation
deep neural network
Online Access:https://ieeexplore.ieee.org/document/9465807/

Internet

https://ieeexplore.ieee.org/document/9465807/

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