Fast H.264/AVC to HEVC transcoding using mode merging and mode mapping

Nagaraghatta, Akshay; Zhao, Yafan; Maxwell, Grant; Kannangara, Sampath

dc.contributor.author	Nagaraghatta, Akshay
dc.contributor.author	Zhao, Yafan
dc.contributor.author	Maxwell, Grant
dc.contributor.author	Kannangara, Sampath
dc.date.accessioned	2020-05-27T17:19:15Z
dc.date.available	2020-05-27T17:19:15Z
dc.date.issued	2015
dc.identifier.citation	Nagaraghatta A et.al. (2015) ‘Fast H.264/AVC to HEVC transcoding using mode merging and mode mapping’ In: 2015 IEEE 5th International Conference on Consumer Electronics - Berlin (ICCE-Berlin), Berlin, Germany. 6-9 September 2015. pp. 165-169 IEEE DOI: 10.1109/ICCE-Berlin.2015.7391223	en_US
dc.identifier.uri	https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7391223
dc.identifier.uri	http://dlib.iit.ac.lk/xmlui/handle/123456789/441
dc.description.abstract	A fast H.264/AVC to HEVC transcoding algorithm using motion vector based mode merging and conditional probability based mode mapping is proposed in this paper. Reusing the incoming H.264 block modes directly does not give the best Rate Distortion performance in HEVC. Motion vector variance is used to predict the possible merge of the H.264 blocks at coding depths 0 and 1 in HEVC. A conditional probability based mathematical model is developed to predict the two most probable modes at coding depths 2 and 3 of the HEVC encoding stage. Results show around 50 percent complexity reduction with negligible rate distortion loss.	en_US
dc.publisher	IEEE	en_US
dc.subject	Video Transcoding	en_US
dc.subject	Prediction algorithms	en_US
dc.subject	Transcoding	en_US
dc.subject	Computational complexity	en_US
dc.title	Fast H.264/AVC to HEVC transcoding using mode merging and mode mapping	en_US
dc.type	Article	en_US