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Fully Adaptive Performance Scalable Block-based Motion Estimation

Sorwar, G.; Murshed, M. and Dooley, L. (2005). Fully Adaptive Performance Scalable Block-based Motion Estimation. In: IEEE Fifth International Conference on Information, Communications and Signal Processing (ICICS’05), 6-9 Dec 2005, Bangkok.

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Trading-off computational complexity and quality is an important performance constraint for real time application of motion estimation algorithm. To address this issue, an adaptive-centre diamond search distance dependent thresholding search (ADSDTS) algorithm has been proposed [1] for motion estimation in video coding applications. ADSDTS encompassed both the full search (FS) as well as fast searching modes, with different threshold settings providing various quality-of-service levels. The main drawback of ADSDTS was that the threshold value was manually defined. In this paper, the ADSDTS algorithm has been extended to a fully adaptive centre-prediction diamond-search distance-dependent thresholding search (FACDDTS), a key feature of which is the automatic adaptation of the threshold using the desired target and the content from the actual video sequence, to achieve a guaranteed level of quality or processing complexity. Experimental results confirm the performance of the FACDDTS algorithm in achieving this objective with minimal additional computational cost.

Item Type: Conference or Workshop Item
Extra Information: ISBN: 0-7803-9283-3
Academic Unit/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)
Item ID: 11375
Depositing User: Laurence Dooley
Date Deposited: 13 Aug 2008 14:48
Last Modified: 07 Dec 2018 09:11
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