DocumentCode :
671072
Title :
Motion vector refinement for frame rate up conversion on 3D video
Author :
Yutao Liu ; Xiaopeng Fan ; Xinwei Gao ; Yan Liu ; Debin Zhao
Author_Institution :
Dept. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin, China
fYear :
2013
fDate :
17-20 Nov. 2013
Firstpage :
1
Lastpage :
6
Abstract :
With the rapid development of digital video technology, frame rate up conversion is widely used. In this paper, a novel motion vector refinement method for frame rate up conversion on depth based 3D video is proposed. Our method involves two major stages in frame rate up conversion which are motion estimation and motion vector filtering. In the motion estimation process, the depth constraint to block matching algorithm is introduced in the bi-directional motion estimation method to obtain the motion vectors. In the motion vector filtering process, a depth-guided filter is designed to enhance the consistence of motions in the same depth plane. The refined motion vectors are used for frame interpolation. Experimental results show that the proposed method achieves 0.45 dB gain in terms of PSNR on average and improves the visual quality of the frame rate up-converted video.
Keywords :
filtering theory; image matching; interpolation; motion estimation; video signal processing; PSNR; bidirectional motion estimation method; block matching algorithm; depth based 3D video; depth constraint; depth plane; depth-guided filter; digital video technology; frame interpolation; frame rate up conversion; motion vector filtering process; motion vector refinement method; visual quality improvement; Bidirectional control; Filtering; Interpolation; Mathematical model; Motion estimation; PSNR; Vectors; depth map; frame rate up conversion; motion estimation; motion vector refinement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Communications and Image Processing (VCIP), 2013
Conference_Location :
Kuching
Print_ISBN :
978-1-4799-0288-0
Type :
conf
DOI :
10.1109/VCIP.2013.6706369
Filename :
6706369
Link To Document :
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