Journal of Information Technology & Software Engineering
Open Access
ISSN: 2165- 7866
+44 1300 500008
ISSN: 2165- 7866
+44 1300 500008
Zhuoying Zeng
Posters-Accepted Abstracts: J Inform Tech Soft Engg
Frame compatible format (FCF) which multiplexes the left and right eye views in to one frame spatially has been considered
as one of the most promising solutions for 3D video broadcasting. In this paper, a fast algorithm exploiting the content
similarity is proposed to reduce the computational complexity for coding FCF. A low complexity average shift estimation
method is proposed to find the matching blocks in the two inter leaved views based on which mode candidate sets are designed
for accelerating intra and interceding of the second inter leaved view (the inter leaved view at the bottom/right in FCF) by
exploiting inter-view correlations. The proposed algorithm achieves an average of 72.45% reduction in Intra coding complexity
and an average of 81.08% reduction in Inter coding complexity for the second inter leaved view respectively with negligible
loss in compression efficiency. By combining with conventional fast algorithms that is applying an conventional fast algorithm
to code the view on the top/left and the proposed one to code the view on the bottom/right, the whole encoder provides up
to 5.44 times higher encoding speed relative to applying the conventional algorithm solely to the whole frame with negligible
performance degradation.
Zhuoying Zeng has received her BS degree in Electrical Engineering from Shanghai Jiao Tong University, China in 2009 and the MS degree in System LSI from
Graduate School of Information, Production and System, Waseda University, Japan and Shanghai Jiao Tong University at 2011 and 2013 respectively. She is
currently an Engineer in China Academy of Electronics and Information Technology.