dc.contributor.author |
Bharanitharan, K.
|
|
dc.date.accessioned |
2019-07-03T03:22:02Z |
|
dc.date.available |
2019-07-03T03:22:02Z |
|
dc.date.issued |
2011-05-05 |
|
dc.identifier.uri |
http://onlineresource.ucsy.edu.mm/handle/123456789/136 |
|
dc.description |
The achievement is supported by a Korea University Grant
Special Research Expense. |
en_US |
dc.description.abstract |
H.264, MPEG-4 Part 10, is the latest digital video
coding standard that achieves very high data compression by
using several new coding features. One of the key features is
the intra prediction based on the rate distortion optimization
(RDO) procedure, which requires a true encoding of the intra
block by trying all intra prediction modes. The computational
burden of intra prediction with the RDO procedure is
extremely high for real time applications. In this paper, we
propose a classified block type (CBT) algorithm that selects the
appropriate intra block size and further our proposed biregion
similarity detection algorithm(BSD) selected block that
reduces a number of candidate mode required for RDO which
significantly reduces the encoder complexity. Experimental
results show that the proposed fast mode decision algorithm
reduces the encoding time by about 68%, with negligible loss of
video quality. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Ninth International Conference On Computer Applications (ICCA 2011) |
en_US |
dc.subject |
H.264/AVC |
en_US |
dc.subject |
Intra prediction |
en_US |
dc.subject |
fast algorithm |
en_US |
dc.subject |
edge detection |
en_US |
dc.title |
Region based Complexity Reduction Algorithm for H.264/AVC Encoder |
en_US |
dc.type |
Article |
en_US |