Sorwar, G.; Murshed, M. and Dooley, L.
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|DOI (Digital Object Identifier) Link:||https://doi.org/10.1109/ICASSP.2003.1199558|
|Google Scholar:||Look up in Google Scholar|
Trading-off computational complexity and quality is an important performance constraint for real time application of motion estimation algorithms. To address this issue, a distance dependent thresholding search (DTS) algorithm has been proposed for fast and robust true motion estimation in video coding/indexing applications (Sorwar, G. et al., Proc. ICASSP. 2002; IEEE Asia-Pacific Conf. on Circuits and Systems, 2002; 6th Int. Conf. on Signal Processing, 2002). DTS encompasses 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 DTS is that the threshold value is defined manually. The DTS algorithm is extended to a fully adaptive distance dependent thresholding search (FADTS), 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 FADTS algorithm in achieving this objective with minimal additional computational cost.
|Item Type:||Conference Item|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Laurence Dooley|
|Date Deposited:||28 Aug 2008 04:10|
|Last Modified:||05 Oct 2016 09:35|
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