DocumentCode :
2071003
Title :
An Improved Motion Estimation for Spatially Scalable Video Coding
Author :
Li, Jianhua ; Liu, Haixia ; Wang, Liguo ; Zhang, Kaicheng
Author_Institution :
Sch. of Electron. & Inf. Eng., Dalian Univ. of Technol., Dalian, China
fYear :
2009
fDate :
17-19 Oct. 2009
Firstpage :
1
Lastpage :
5
Abstract :
In the incoming amendment of H.264/AVC for scalable video coding (SVC), inter-layer prediction is incorporated into spatial scalability. According to inter-layer motion prediction, the base-layer and enhancement-layer can use one set of motion vectors, due to the strong relationship between different layers. In this paper, an improved motion estimation scheme is proposed for gaining optimal motion vectors, aiming to balance the coding efficiency between two layers, meanwhile maintain the final coding performance. The proposed scheme performs motion estimation in both two layers simultaneously, and uses quantization step as weighting parameters, which can ensure that the coding performance can not be affected by variable QP(quantization parameters). Thus, the proposed cost function is optimized. When the cost is minimal, an optimal motion vector is obtained, and the graceful tradeoff between the two layers is also achieved. Our experimental results show that the proposed scheme can balance the coding efficiency between the two layers perfectly, and at the same time improve the total coding performance.
Keywords :
motion estimation; video coding; H.264/AVC; coding performance; cost function; interlayer motion prediction; interlayer prediction; motion estimation; optimal motion vectors; quantization parameters; spatial scalability; spatially scalable video coding; Automatic voltage control; Cost function; Displays; Motion estimation; Quantization; Rate-distortion; Scalability; Spatial resolution; Static VAr compensators; Video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
Type :
conf
DOI :
10.1109/CISP.2009.5300968
Filename :
5300968
Link To Document :
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