Paper Info
Title
Pre-filtering with locally adaptive filter set for reference frame in video compression
Abstract
To reduce temporal redundancy, conventional video coding standards, such as H.264/AVC, use block based motion estimation (ME) and compensation algorithm. However, the coding performance of H.264/AVC significantly drops when characteristics of video contents are changed due to the motion. In this paper, we proposed a pre-filtering algorithm with locally adaptive filter set for the reference frame to minimize the prediction error in the ME process. With image statistics, we adaptively construct a pre-filter set and apply the pre-filter set to the reference frame locally. The proposed algorithm is more efficient in sequences that have high resolution or fast motion. By manipulating the reference frame similar to the current frame, the coding performance is significantly improved. Compared with H.264/AVC, the proposed algorithm achieves bit-rate reduction up to 15.28%.
Year
DOI
Venue
2011
10.1109/ICME.2011.6011932
ICME
Keywords
Field
DocType
video compression,pre-filtering algorithm,pre-filter set,motion estimation,current frame,reference frame,fast motion,me process,compensation algorithm,proposed algorithm,coding performance,prediction error,prediction algorithms,adaptive filter,motion compensation,encoding,high resolution,low pass filters,adaptive filtering,adaptive filters,wiener filter
Reference frame,Computer vision,Block-matching algorithm,Quarter-pixel motion,Context-adaptive variable-length coding,Computer science,Motion compensation,Residual frame,Artificial intelligence,Inter frame,Context-adaptive binary arithmetic coding
Conference
ISSN
Citations 
PageRank 
1945-7871
2
0.55
References 
Authors
7
5
Name
Order
Citations
PageRank
Jinik Jang120.55
Hyuk Lee220.55
Taeyoung Jung3115.92
Sung-Min Hong415216.56
Jechang Jeong51002141.22