Title :
A Joint Motion-Image Inpainting Method for Error Concealment in Video Coding
Author :
Chen, L.Y. ; Chan, S.C. ; Shum, H.Y.
Author_Institution :
Dept. of Electr. & Electron. Eng., Hong Kong Univ., China
Abstract :
In this paper, we propose a new method for spatial-temporal error concealment in video coding using joint motion-image inpainting. The proposed method combines motion inpainting and adaptive Markov random field (MRF) based diffusion as robust motion inpainting. Image inpainting is employed to refine the result. With robust motion inpainting, effective compromise between temporal and spatial method is achieved for each point in the missing marcroblock (MB), which provides satisfactory visual quality of the restored frame with complex motion in video.
Keywords :
Markov processes; image motion analysis; image restoration; spatiotemporal phenomena; video coding; MRF based diffusion; adaptive Markov random field; frame restoration; joint motion-image inpainting; spatial-temporal error concealment; video coding; visual quality; Asia; Digital images; Image coding; Image restoration; Image storage; Markov random fields; Motion estimation; Robustness; Video coding; Video compression; Error Concealment; Image Inpainting; Markov Random Field; Motion Inpainting;
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
1-4244-0480-0
DOI :
10.1109/ICIP.2006.312808
