Abstract
In video processing, compression techniques are required to improve the efficiency of transmission and storage of video data. Data compression methods can be classified into two basically different categories: lossy compression methods and lossless compression methods. Lossless compression methods are required for medical image processing and for compressions broadcast materials. We developed a novel video lossless compression method using the Hilbert curve, by mapping the three-dimensional data to one-dimensional data along the curve and then applying adaptive linear prediction coding to the one-dimensional data. Experimental results show that better compression ratio is obtained with our method than with losslessJPEG, although the processing time for both methods is almost equal.
| Original language | English |
|---|---|
| Pages (from-to) | 447-454 |
| Number of pages | 8 |
| Journal | Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers |
| Volume | 55 |
| Issue number | 3 |
| Publication status | Published - 2001 Mar |
| Externally published | Yes |
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ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Electronic, Optical and Magnetic Materials
Cite this
A lossless video compression method based on adaptive linear predictive coding using spatio-temporal Hilbert scanning. / Bando, Y.; Yokoyama, T.; Kamata, Seiichiro.
In: Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers, Vol. 55, No. 3, 03.2001, p. 447-454.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A lossless video compression method based on adaptive linear predictive coding using spatio-temporal Hilbert scanning
AU - Bando, Y.
AU - Yokoyama, T.
AU - Kamata, Seiichiro
PY - 2001/3
Y1 - 2001/3
N2 - In video processing, compression techniques are required to improve the efficiency of transmission and storage of video data. Data compression methods can be classified into two basically different categories: lossy compression methods and lossless compression methods. Lossless compression methods are required for medical image processing and for compressions broadcast materials. We developed a novel video lossless compression method using the Hilbert curve, by mapping the three-dimensional data to one-dimensional data along the curve and then applying adaptive linear prediction coding to the one-dimensional data. Experimental results show that better compression ratio is obtained with our method than with losslessJPEG, although the processing time for both methods is almost equal.
AB - In video processing, compression techniques are required to improve the efficiency of transmission and storage of video data. Data compression methods can be classified into two basically different categories: lossy compression methods and lossless compression methods. Lossless compression methods are required for medical image processing and for compressions broadcast materials. We developed a novel video lossless compression method using the Hilbert curve, by mapping the three-dimensional data to one-dimensional data along the curve and then applying adaptive linear prediction coding to the one-dimensional data. Experimental results show that better compression ratio is obtained with our method than with losslessJPEG, although the processing time for both methods is almost equal.
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M3 - Article
AN - SCOPUS:0035265825
VL - 55
SP - 447
EP - 454
JO - Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers
JF - Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers
SN - 1342-6907
IS - 3
ER -