Title
Multiple Objective Frame Rate Up Conversion
Abstract
In this paper, we propose a multiple objective frame rate up conversion algorithm (MOFRUC), which utilizes two different models. The first model is a constant velocity model that assumes the objects position is a linear function of time. The second model exploits the spatial correlation between neighboring blocks, and assumes the pixel intensity is highly correlated in a small local area. In this model, the perceptual quality of interpolated frame is also taken into account and the blocking artifact is minimized. Our proposed MOFRUC estimates the motion trajectory by the first model and interpolate the frame along the motion trajectory. At the same time., the algorithm refines the motion trajectory by maximizing a spatial correlation measurement defined in the second model and interpolates the frame with minimum blocking artifact. Simulation results show that our proposed MOFRUC Outperforms other existing algorithms and produces high quality interpolated frame.
Year
DOI
Venue
2005
10.1109/ICME.2005.1521408
2005 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME), VOLS 1 AND 2
Keywords
Field
DocType
spatial correlation,motion pictures,motion estimation,time measurement,interpolation,videoconference,gold
Computer vision,Spatial correlation,Computer science,Interpolation,Residual frame,Pixel,Artificial intelligence,Motion analysis,Motion estimation,Linear function,Trajectory
Conference
Citations 
PageRank 
References 
1
0.38
5
Authors
4
Name
Order
Citations
PageRank
Tak-song Chong1132.61
Oscar C. Au21592176.54
Wing-san Chau3163.24
Tai-wai Chan4223.62