Paper Info
Title
Video frame interpolation via weighted robust principal component analysis
Abstract
In this paper, we propose a new video frame interpolation technique by a locally-adaptive robust principal component analysis (RPCA) with weight priors. The proposed algorithm relies on two main steps: 1. the pre-processing step initializes the new frame by a simplified motion-compensated frame interpolation and assigns each pixel a confident weight based on both the difference of motion estimation and local consistency; and 2. the refinement step updates the frame by a proposed weighted robust principal component analysis (WRPCA) algorithm. Experiments demonstrate that the proposed method outperforms the state-of-the-art algorithms, both in visual quality and PSNR performance.
Year
DOI
Venue
2013
10.1109/ICASSP.2013.6637882
ICASSP
Keywords
Field
DocType
weighted robust principal component analysis,video frame interpolation,interpolation,weight priors,simplified motion compensated frame interpolation,robust principal component analysis (rpca),frame interpolation,motion estimation,motion-compensated interpolation (mci),video coding,principal component analysis,robustness,psnr,sparse matrices,algorithm design and analysis
Mathematical optimization,Algorithm design,Pattern recognition,Computer science,Interpolation,Robustness (computer science),Robust principal component analysis,Residual frame,Motion interpolation,Artificial intelligence,Motion estimation,Principal component analysis
Conference
ISSN
Citations 
PageRank 
1520-6149
3
0.45
References 
Authors
8
4
Name
Order
Citations
PageRank
Minh Dao112111.14
Yuanming Suo2756.73
Sang Peter Chin35810.72
T. D. Tran417920.04