Title :
Region-based temporally consistent video post-processing
Author :
Xuan Dong;Boyan Bonev; Yu Zhu;Alan L. Yuille
Author_Institution :
Tsinghua University, China
fDate :
6/1/2015 12:00:00 AM
Abstract :
We study the problem of temporally consistent video post-processing. Previous post-processing algorithms usually either fail to keep high fidelity or fail to keep temporal consistency of output videos. In this paper, we observe experimentally that many image/video enhancement algorithms enforce a spatially consistent prior on the enhancement. More precisely, within a local region, the enhancement is consistent, i.e., pixels with the same RGB values will get the same enhancement values. Using this prior, we segment each frame into several regions and temporally-spatially adjust the enhancement of regions of different frames, taking into account fidelity, temporal consistency and spatial consistency. User study, objective measurement and visual quality comparisons are conducted. The experimental results demonstrate that our output videos can keep high fidelity and temporal consistency at the same time.
Keywords :
"Image reconstruction","Image color analysis","Streaming media","Image segmentation","Algorithm design and analysis","Image enhancement","Software algorithms"
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on
Electronic_ISBN :
1063-6919
DOI :
10.1109/CVPR.2015.7298671