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An adaptive motion vector composition algorithm for frame skipping video transcoding

Yusuf, A. A.; Murshed, M. and Dooley, L. S. (2004). An adaptive motion vector composition algorithm for frame skipping video transcoding. In: Proceedings of the 12th IEEE Mediterranean Electrotechnical Conference (MELECON’04), 12-15 May 2004, Dubrovnik.

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Frame skipping transcoding involves periodically dropping certain incoming frames to reduce the bit rate of the outgoing stream, thereby causing many motion vectors extracted from the incoming stream to be invalid. Instead of recalculating these invalid motion vectors, a number of techniques recompose the vectors by using the incoming information to reduce computational complexity. Reducing computational complexity is the key to real time operation. In this paper we propose an enhanced parametric activity dominant vector selection (PADVS) algorithm that reduces the overall computational complexity significantly, while retaining and even improving image quality.

Item Type: Conference Item
Academic Unit/Department: Mathematics, Computing and Technology > Computing & Communications
Mathematics, Computing and Technology
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 13067
Depositing User: Laurence Dooley
Date Deposited: 24 Mar 2009 22:55
Last Modified: 15 Jan 2016 09:26
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