NDLI: Video content dependent directional transform for intra frame coding

Content Provider	IEEE Xplore Digital Library
Author	Long Xu King Ngi Ngan Miaohui Wang
Copyright Year	2012
Description	Author affiliation: Electronic Engineering Department, the Chinese University of Hong Kong, Hong Kong, China (Long Xu; King Ngi Ngan; Miaohui Wang)
Abstract	The mode-dependent directional transform (MDDT) employed Karhunen-Loève Transform (KLT) for compressing directional residue signal of intra prediction along its direction. The transform bases were derived from the singular value decomposition (SVD) of residue signals coming from all kinds of video sequences, which were expected to be efficient for most of video sequences. However, the advantage of KLT comes from the concept of a “signal content dependent transform”. MDDT and its variants failed to exploit such a concept, so they did not fully exploit the efficiency of KLT. In this paper, a video content feature is firstly defined as the histogram of the residue produced by intra prediction. Secondly, one KLT basis is computed for each feature of each mode from off-line experiments. Thus, multiple KLT bases identified by their features are provided to each mode instead of only one basis in MDDT. One of them is selected during encoding process by matching the feature of signal being processed to the predefined features. The experiments show that the average improvement of 0.17dB PSNR and 2.23% bits saving can be achieved by the proposed video content dependent directional transform (CDDT) comparing to the state-of-the-art MDDT.
Starting Page	197
Ending Page	200
File Size	249593
Page Count	4
File Format	PDF
ISBN	9781457720475
e-ISBN	9781457720499
e-ISBN	9781457720482
DOI	10.1109/PCS.2012.6213326
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-07
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Histograms PSNR Video sequences Bit rate Transforms Encoding
Content Type	Text
Resource Type	Article

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