Title
Localized Multiple Adaptive Interpolation Filters With Single-Pass Encoding
Abstract
Adaptive interpolation filtering (AIF) algorithms have been proposed to enhance the hybrid video coding scheme recently. Although these algorithms can improve coding efficiency significantly, their encoders suffer huge increase in complexity in terms of latency and memory access due to its inherent multi-pass encoding structure. In this paper, we propose a novel single-pass solution for these algorithms, which allows optimal selection among different AIF filters. In this solution, time-delayed AIF filters are used to achieve single-pass encoding. Localized rate-distortion (RD) selection is used to compensate the possible coding loss by using time-delayed filters. Experimental results show that the proposed method is efficient for All AIF techniques in current ITU-T/SG16 reference software. By using the proposed method, single-pass encoding with multiple AIF filters can be achieved while maintaining similar coding efficiency as the multipass AIF.
Year
DOI
Venue
2010
10.1117/12.863534
VISUAL COMMUNICATIONS AND IMAGE PROCESSING 2010
Keywords
Field
DocType
Adaptive interpolation filtering, single-pass encoding, H.264/AVC, motion compensation
Computer vision,Algorithmic efficiency,Computer science,Motion compensation,Interpolation,Filter (signal processing),Coding (social sciences),Theoretical computer science,Low-pass filter,Adaptive filter,Artificial intelligence,Encoding (memory)
Conference
Volume
Issue
ISSN
7744
null
0277-786X
Citations 
PageRank 
References 
3
0.47
0
Authors
6
Name
Order
Citations
PageRank
Xun Guo191.65
Kai Zhang2286.23
Yu-Wen Huang31116114.02
Jicheng An4366.51
Chih-Ming Fu538430.00
Shawmin Lei61034122.70