Video compression with 1-D directional transforms in H.264/AVC
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Lim_Video compression.pdf
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Author(s)
Kamisli, Fatih
Lim, Jae S.
Date Issued
June 2010
Journal
2010 IEEE International Conference on Acoustics Speech and Signal Processing
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Kamisli, Fatih, and Jae S. Lim. “Video Compression with 1-D Directional Transforms in H.264/AVC.” IEEE International Conference on Acoustics Speech and Signal Processing, 2010. 738–741. © Copyright 2010 IEEE
Version
Final published version
Abstract
Typically the same transforms, such as the 2-D Discrete Cosine Transform (DCT), are used to compress both images in image compression and prediction residuals in video compression. However, these two signals have different spatial characteristics. In, we analyzed the difference between these two signals and proposed 1-D directional transforms for prediction residuals. In this paper, we provide further experimental results using these transforms in the H.264/AVC codec and present other related information which can provide insights in understanding the use of these transforms in video coding applications.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Research Laboratory of Electronics
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ICASSP.2010.5495034
