NDLI: Advanced inpainting-based macroblock prediction with regularized structure propagation in video compression

Content Provider	IEEE Xplore Digital Library
Author	Yang Xu Hongkai Xiong
Copyright Year	2010
Description	Author affiliation: Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China (Yang Xu; Hongkai Xiong)
Abstract	In this paper, we propose an optimized inpainting-based macroblock (MB) prediction mode (IP-mode) in the state-of-the-art H.264/AVC video compression engine, and investigate a natural extension of structured sparsity over the ordered Belief Propagation (BP) inference in inpainting-based prediction. The IP-mode is regularized by a global spatio-temporal consistency between the predicted content and the co-located known texture, and could be adopted in both Intra and Inter frames without redundant assistant information. It is solved by an optimization problem under Markov Random Field (MRF), and the structured sparsity of the predicted macroblock region is inferred by tensor voting projected from the decoded regions to tune the priority of message scheduling in BP with a more convergent manner. Rate-distortion optimization is maintained to select the optimal mode among the inpainting-based prediction (IP-), the intra-, and inter-modes. Compared to the existing prediction modes in H.264/AVC, the proposed inpainting-based prediction scheme is validated to achieve a better R-D performance for homogeneous visual patterns and behave a more robust error resilience capability with an intrinsic probabilistic inference.
Starting Page	94
Ending Page	97
File Size	254571
Page Count	4
File Format	PDF
ISBN	9781424471348
e-ISBN	9781424471355
DOI	10.1109/PCS.2010.5702587
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-08
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Video coding tensor voting Tensile stress Image edge detection Video compression in-painting Prediction algorithms Encoding mode selection H.264/AVC Belief propagation
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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