DocumentCode
1866710
Title
Joint rate-distortion optimization of transform coefficients for spatial Scalable Video Coding using SVC
Author
Winken, Martin ; Schwarz, Heiko ; Wiegand, Thomas
Author_Institution
Image Process. Dept., Fraunhofer Inst. for Telecommun., Berlin
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
1220
Lastpage
1223
Abstract
The recently finalized scalable video coding (SVC) extension of the H.264/AVC video coding standard supports encoding of video sequences at different spatial resolutions within one single scalable bit-stream. In order to achieve an improved coding efficiency compared to simulcast, SVC allows so-called "inter-layer prediction," where texture, motion, and residual data of the lower resolution layer are exploited for the encoding of the higher resolution layer. In this paper, we extend the ideas presented in our previous work by M. Winken et al (2007), and describe an approach how the dependencies caused by the inter-layer residual prediction can be utilized in the selection of the transform coefficient values for the lower resolution layer. Our experimental results show gains of 0.5 dB luma PSNR compared to our previous approach for the high resolution layer with no impact on the base layer coding efficiency.
Keywords
transforms; video coding; H.264/AVC video coding standard; interlayer residual prediction; rate-distortion optimization; spatial resolution; spatial scalable video coding; transform coefficient; Decoding; Image coding; Rate-distortion; Scalability; Signal processing; Signal resolution; Spatial resolution; Static VAr compensators; Video coding; Video sequences; Scalable Video Coding (SVC); rate distortion optimization; spatial scalability; video coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location
San Diego, CA
ISSN
1522-4880
Print_ISBN
978-1-4244-1765-0
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2008.4711981
Filename
4711981
Link To Document