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.

DOI: https://doi.org/10.1109/MELCON.2004.1346817

URL: http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arn...

Abstract

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.

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About

• Item ORO ID
• 13067
• Item Type
• Conference or Workshop Item
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Centre for Research in Computing (CRC)
• Depositing User
• Laurence Dooley