The Open UniversitySkip to content
 

A real time generic variable pattern selection algorithm for very low bit-rate video coding

Manoranjan, Paul; Murshed, M. and Dooley, Laurence (2003). A real time generic variable pattern selection algorithm for very low bit-rate video coding. In: IEEE International Conference on Image Processing (ICIP '03),, 14-17 September 2003, Barcelona.

Full text available as:
[img]
Preview
PDF (Not Set) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (286Kb)
URL: http://ieeexplore.ieee.org/search/wrapper.jsp?arnu...
DOI (Digital Object Identifier) Link: http://doi.org/10.1109/ICIP.2003.1247380
Google Scholar: Look up in Google Scholar

Abstract

The selection of an optimal regular-shaped pattern set for very low bit-rate video coding, focusing on moving regions has been the objective of much recent research in order to try and improve bit-rate efficiency. Selecting the optimal pattern set however, is an NP hard problem. This paper presents a generic variable pattern selection (GVPS) algorithm, which introduces a pattern selection parameter that is able to control the performance in terms of computational complexity as well as bit-rate and picture quality. While using a sub-optimal variable pattern set, GVPS obtains a coding performance comparable to near-optimal algorithms, such as the k-change neighbourhood solution, while being much less computationally intensive, so that it is able to process all types of video sequences in real-time, with minimal pre-processing overheads.

Item Type: Conference Item
ISSN: 1522-4880
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)
Item ID: 11481
Depositing User: Laurence Dooley
Date Deposited: 28 Aug 2008 04:18
Last Modified: 05 Oct 2016 05:36
URI: http://oro.open.ac.uk/id/eprint/11481
Share this page:

Altmetrics

Scopus Citations

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

▼ Automated document suggestions from open access sources

Actions (login may be required)

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk