Extended Multiresolution Lossless Video Coding Using In-Band Spatio-Temporal Prediction
Summary :
Lossless video coding is required in the fields of archiving and editing digital cinema or digital broadcasting contents. This paper combines a discrete wavelet transform and adaptive inter/intra-frame prediction in the wavelet transform domain to create multiresolution lossless video coding. Based on the image statistics of the wavelet transform domains in successive frames, inter/intra frame adaptive prediction is applied to the appropriate wavelet transform domain. This adaptation offers superior compression performance. A progressive transmission scheme is also proposed for effective resolution scalability. Experiments on test sequences confirm the effectiveness of the proposed algorithm.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E89-A No.3 pp.698-707
- Publication Date
- 2006/03/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e89-a.3.698
- Type of Manuscript
- Special Section PAPER (Special Section on Multidimensional Signal Processing and Its Application)
- Category
- Image/Vision Processing
Authors
Keyword
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Takayuki NAKACHI, Tomoko SAWABE, Tetsuro FUJII, "Extended Multiresolution Lossless Video Coding Using In-Band Spatio-Temporal Prediction" in IEICE TRANSACTIONS on Fundamentals,
vol. E89-A, no. 3, pp. 698-707, March 2006, doi: 10.1093/ietfec/e89-a.3.698.
Abstract: Lossless video coding is required in the fields of archiving and editing digital cinema or digital broadcasting contents. This paper combines a discrete wavelet transform and adaptive inter/intra-frame prediction in the wavelet transform domain to create multiresolution lossless video coding. Based on the image statistics of the wavelet transform domains in successive frames, inter/intra frame adaptive prediction is applied to the appropriate wavelet transform domain. This adaptation offers superior compression performance. A progressive transmission scheme is also proposed for effective resolution scalability. Experiments on test sequences confirm the effectiveness of the proposed algorithm.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e89-a.3.698/_p
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@ARTICLE{e89-a_3_698,
author={Takayuki NAKACHI, Tomoko SAWABE, Tetsuro FUJII, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Extended Multiresolution Lossless Video Coding Using In-Band Spatio-Temporal Prediction},
year={2006},
volume={E89-A},
number={3},
pages={698-707},
abstract={Lossless video coding is required in the fields of archiving and editing digital cinema or digital broadcasting contents. This paper combines a discrete wavelet transform and adaptive inter/intra-frame prediction in the wavelet transform domain to create multiresolution lossless video coding. Based on the image statistics of the wavelet transform domains in successive frames, inter/intra frame adaptive prediction is applied to the appropriate wavelet transform domain. This adaptation offers superior compression performance. A progressive transmission scheme is also proposed for effective resolution scalability. Experiments on test sequences confirm the effectiveness of the proposed algorithm.},
keywords={},
doi={10.1093/ietfec/e89-a.3.698},
ISSN={1745-1337},
month={March},}
Copy
TY - JOUR
TI - Extended Multiresolution Lossless Video Coding Using In-Band Spatio-Temporal Prediction
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 698
EP - 707
AU - Takayuki NAKACHI
AU - Tomoko SAWABE
AU - Tetsuro FUJII
PY - 2006
DO - 10.1093/ietfec/e89-a.3.698
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E89-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2006
AB - Lossless video coding is required in the fields of archiving and editing digital cinema or digital broadcasting contents. This paper combines a discrete wavelet transform and adaptive inter/intra-frame prediction in the wavelet transform domain to create multiresolution lossless video coding. Based on the image statistics of the wavelet transform domains in successive frames, inter/intra frame adaptive prediction is applied to the appropriate wavelet transform domain. This adaptation offers superior compression performance. A progressive transmission scheme is also proposed for effective resolution scalability. Experiments on test sequences confirm the effectiveness of the proposed algorithm.
ER -
English
