Video Encoding Scheme Employing Intra and Inter Prediction Based on Averaged Template Matching Predictors

Yoshinori SUZUKI  Choong Seng BOON  Thiow Keng TAN  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E91-D   No.4   pp.1127-1134
Publication Date: 2008/04/01
Online ISSN: 1745-1361
DOI: 10.1093/ietisy/e91-d.4.1127
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Image Processing and Video Processing
Keyword: 
video coding,  image coding,  image generation and motion compensation,  

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Summary: 
In video compression, the information transmitted from the encoder to the decoder can be classified into two categories: side information, which carries action instructions to be performed, and data such as the residual error of the texture. As video compression technology has matured, better compression has been achieved by increasing the ratio of side information to data, while reducing the overall bit rate. However, there is a limit to this method because the side information becomes a significant fraction of the overall bit rate. In recent video compression technologies, the decoder tends to share the burden of the decision making in order to achieve a higher compression ratio. To further improve the coding efficiency, we tried to provide the decoder with a more active role in reducing the amount of data. According to this approach, by using reconstructed pixels that surround a target block to produce a better sample predictor of the target block, the amount of side information and the residual error of the texture are reduced. Furthermore, multiple candidates of the sample predictor are utilized to create a better sample predictor without increasing the amount of side information. In this paper, we employ a template matching method that makes the decoder more active. The template matching method is applied to the conventional video codec to improve the prediction performance of intra, inter, and bi-directional pictures in video. The results show that improvements in coding efficiency up to 5.8% are achieved.