Video compression with 1-D directional transforms in H.264/AVC
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 sig...
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Format: | Article |
Language: | en_US |
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Institute of Electrical and Electronics Engineers (IEEE)
2012
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Online Access: | http://hdl.handle.net/1721.1/72132 https://orcid.org/0000-0002-9170-784X |
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author | Kamisli, Fatih Lim, Jae S. |
author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Kamisli, Fatih Lim, Jae S. |
author_sort | Kamisli, Fatih |
collection | MIT |
description | 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. |
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format | Article |
id | mit-1721.1/72132 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T08:21:20Z |
publishDate | 2012 |
publisher | Institute of Electrical and Electronics Engineers (IEEE) |
record_format | dspace |
spelling | mit-1721.1/721322022-09-30T09:08:04Z Video compression with 1-D directional transforms in H.264/AVC Kamisli, Fatih Lim, Jae S. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Research Laboratory of Electronics Lim, Jae S. Kamisli, Fatih Lim, Jae S. 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. 2012-08-15T12:46:44Z 2012-08-15T12:46:44Z 2010-06 2010-03 Article http://purl.org/eprint/type/ConferencePaper 978-1-4244-4296-6 978-1-4244-4295-9 1520-6149 http://hdl.handle.net/1721.1/72132 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 https://orcid.org/0000-0002-9170-784X en_US http://dx.doi.org/10.1109/ICASSP.2010.5495034 2010 IEEE International Conference on Acoustics Speech and Signal Processing 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. application/pdf Institute of Electrical and Electronics Engineers (IEEE) IEEE |
spellingShingle | Kamisli, Fatih Lim, Jae S. Video compression with 1-D directional transforms in H.264/AVC |
title | Video compression with 1-D directional transforms in H.264/AVC |
title_full | Video compression with 1-D directional transforms in H.264/AVC |
title_fullStr | Video compression with 1-D directional transforms in H.264/AVC |
title_full_unstemmed | Video compression with 1-D directional transforms in H.264/AVC |
title_short | Video compression with 1-D directional transforms in H.264/AVC |
title_sort | video compression with 1 d directional transforms in h 264 avc |
url | http://hdl.handle.net/1721.1/72132 https://orcid.org/0000-0002-9170-784X |
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