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Low complexity intra video coding using transform domain prediction

Kim, Chanyul and O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135 (2008) Low complexity intra video coding using transform domain prediction. In: VIIP 2008 - 8th IASTED International Conference on Visualization, Imaging, and Image Processing, 1-3 September 2008, Palma De Mallorca, Spain. ISBN 978-0-88986-759-8

Abstract
In this paper, a new low complexity intra coding framework is presented. The proposed method is extremely computationally efficient as it uses intra prediction in the DCT domain. To facilitate finding a good predictor, we propose to extend the number of neighouring blocks to be searched, based on a consideration of the type of edges we can expect to observe in the pixel data. The best predictor can be selected from the candidate blocks without recourse to rate-distortion optimisation or pixel interpolation. To obtain better performance we also propose to automatically adapt the entropy encoding block to the prediction mode used. Experimental results show that the encoding scheme compares favorably to H.264/AVC in terms of compression efficiency but with a significant reduction in overall computational complexity.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Subjects:Engineering > Signal processing
Computer Science > Video compression
Computer Science > Image processing
Computer Science > Algorithms
Computer Science > Digital video
DCU Faculties and Centres:Research Institutes and Centres > Centre for Digital Video Processing (CDVP)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Institutes and Centres > CLARITY: The Centre for Sensor Web Technologies
Publisher:IASTED - International Association of Science and Technology for Development
Official URL:http://www.iasted.org/conferences/ipc-630.html
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Samsung Electronics Co., Ltd, Science Foundation Ireland, SFI 03/IN.3/I361
ID Code:640
Deposited On:15 Oct 2008 10:26 by Hyowon Lee . Last Modified 08 Nov 2018 16:05
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