NDLI: Content-adaptive reference frame compression based on intra-frame prediction for multiview video coding

Content Provider	IEEE Xplore Digital Library
Author	Sampaio, F. Zatt, B. Shafique, M. Agostini, L. Henkel, J. Bampi, S.
Copyright Year	2013
Description	Author affiliation: Group of Archit. & Integrated Circuits (GACI), Fed. Univ. of Pelotas, Pelotas, Brazil (Agostini, L.) \|\| Dept. of Embedded Syst., Karlsruhe Inst. of Technol., Karlsruhe, Germany (Shafique, M.; Henkel, J.) \|\| Inf. Inst. (PPGC-PGMICRO), Fed. Univ. of Rio Grande do Sul, Porto Alegre, Brazil (Sampaio, F.; Zatt, B.; Bampi, S.)
Abstract	This paper presents a content-adaptive reference frame compression scheme to alleviate the large overhead of external memory communication during the Motion and Disparity Estimation process in Multiview Video Coding (MVC). Our scheme is based on a simplified intra-prediction process to reduce the spatial redundancy of the reference samples. The intra-prediction residue is compressed by a path composed of non-linear quantization and Huffman-based entropy encoder. Four different quantization strengths and Huffman tables were statistically defined. They are dynamically selected according to a content adaptation strategy, which classifies the original blocks based on their spatial homogeneity. Experimental results show that the proposed content-adaptive compression scheme is able to reduce the external memory accesses by up to 63% along with negligible losses in the MVC encoder rate-distortion performance. Compared to the best available related work [12] our content-adaptive reference frame compression achieves 39% reduced external memory accesses, while still providing a BD-PSNR increase of 0.03dB.
Starting Page	1831
Ending Page	1835
File Size	1048422
Page Count	5
File Format	PDF
ISBN	9781479923410
DOI	10.1109/ICIP.2013.6738377
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-15
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	multiview video coding Reference frame compression content adaptation memory reduction
Content Type	Text
Resource Type	Article

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