Frame splitting approach for adaptive up-sampling in scalable video coding

Author

IlHong Shin ; Hyun-woo Lee

Author_Institution

Media Networking Res. Team, Electron. & Telecommun. Res. Inst., Daejeon, South Korea

fYear

2014

fDate

22-24 Oct. 2014

Firstpage

661

Lastpage

662

Abstract

Paper proposes an improvement method for spatial scalable video coding (H.264 SVC), which adopts multiple upsizing filter coefficient transmission for efficient inter-layer prediction. According to previous studies, adaptive upsizing filtering method by coefficient transmission leads a little coding performance gain. In this paper, transmission scheme of multiple adaptive filter coefficients were taken by dividing a frame selectively. In experimental results, rate-distortion performance and computational complexity of the proposed method are analyzed for various video sequences. The proposed method achieves improvement in coding efficiency of spatial scalable video coding.

Keywords

adaptive filters; computational complexity; prediction theory; rate distortion theory; signal sampling; video coding; H.264 SVC; adaptive filter coefficients; adaptive upsizing filtering method; coding efficiency; computational complexity; frame splitting approach; interlayer prediction; rate-distortion performance; spatial scalable video coding; transmission scheme; upsizing filter coefficient transmission; video sequences; Computational complexity; Encoding; Filtering; Optimization; Static VAr compensators; Video coding; encoder; scalable video coding; up-sampling;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Communication Technology Convergence (ICTC), 2014 International Conference on

Conference_Location

Busan

Type

conf

DOI

10.1109/ICTC.2014.6983248

Filename

6983248