Efficient Motion Field Interpolation Method for Wyner-Ziv Video Coding
Abstract: Wyner-Ziv video
coding has the capability to reduce video encoding complexity by shifting
motion estimation procedure from encoder to decoder. Amongst many motion
estimation methods, expectation maximization algorithm is the most effective
one. Unfortunately, the implementation of block-based motion estimation in this
algorithm causes motion field profile bounded by granularity of block size.
Nearest-neighbor and bilinear interpolation methods have already applied in
multiview image coding to handle similar problem. This paper aims to evaluate
performance of both interpolation methods in transform-domain Wyner-Ziv video
codec. Results showed that bilinear interpolation effective only for high
motion video sequences. In this scenario, it has bitrate saving up to 3.29 %, 0.2
dB higher PSNR, and 12.30 % higher decoding complexity compared to
nearest-neighbor. In low motion video content, bitrate saving only gained up to
0.82%, with almost the same PSNR, while decoding complexity increase up to
10.32%.
Author: I Made Oka Widyantara,
Wirawan, Gamantyo Hendrantoro
Journal Code: jptkomputergg110026