Name
Abstract | ||
|---|---|---|
In this paper, we study on handling the issue of occlusions in frame rate up-conversion (FRUC), which has been widely used to reconstruct high-quality videos presented on liquid crystal display. Depending on different types of occlusion problems, adaptive motion estimation is carried out for reducing computational complexity. Luminance information based RGB angular distance color difference formula is proposed for improving Unsymmetrical-cross multi-hexagon grid search (UMHexagonS) motion estimation, which reduces the occlusion regions resulted by the wrong motion vectors. Non-occlusion regions are determined by motion vector angular, furthermore, exposed and occluded areas are located by comparisons of interpolated frames within directional motion estimation. Consequently, adaptive motion compensation is introduced to calculate interpolated frames. Experimental results demonstrate that our scheme has a superior performance compared with preciously proposed FRUC schemes. abstract environment. |
Year | Venue | Field |
|---|---|---|
2015 | ICIG | Computer vision,Hyperparameter optimization,Computer science,Motion compensation,Frame rate,Angular distance,RGB color model,Artificial intelligence,Motion estimation,Luminance,Motion vector |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 5 | |