Details
| Original language | English |
|---|---|
| Title of host publication | 2010 IEEE International Conference on Image Processing |
| Subtitle of host publication | ICIP 2010, Proceedings |
| Pages | 1293-1296 |
| Number of pages | 4 |
| Publication status | Published - Dec 2010 |
| Event | 2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong Duration: 26 Sept 2010 → 29 Sept 2010 |
Publication series
| Name | Proceedings - International Conference on Image Processing, ICIP |
|---|---|
| ISSN (Print) | 1522-4880 |
Abstract
In this paper, a scalable multiple description video coding method based on the scalable video extension of H.264/AVC (SVC) is presented. The proposed scheme employs a standard SVC encoder to generate several bit streams which have different bit rates. The spatial enhancement layers of these bit streams are quantized in an unbalanced fashion, while the spatial base layers are coded with the same quantization step size. Balanced multiple scalable descriptions are generated by mixing the pre-encoded scalable bit streams. Each description alone is totally decodable by a standard SVC decoder. A preprocessor before a SVC decoder is employed to extract the packets from the highest quality bit stream. The experimental results show that our proposed scheme achieves improvements of 3.5dB and 3.9dB when compared to the methods based on spatial downspamling and temporal downsampling at 10% packet loss rate.
Keywords
- Multiple description coding, SVC, Unbalanced quantization, Video streaming
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Computer Science(all)
- Computer Vision and Pattern Recognition
- Computer Science(all)
- Signal Processing
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2010 IEEE International Conference on Image Processing: ICIP 2010, Proceedings. 2010. p. 1293-1296 5653989 (Proceedings - International Conference on Image Processing, ICIP).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Video streaming using standard-compatible scalable multiple description coding based on SVC
AU - Zhao, Zhijie
AU - Ostermann, Jörn
PY - 2010/12
Y1 - 2010/12
N2 - In this paper, a scalable multiple description video coding method based on the scalable video extension of H.264/AVC (SVC) is presented. The proposed scheme employs a standard SVC encoder to generate several bit streams which have different bit rates. The spatial enhancement layers of these bit streams are quantized in an unbalanced fashion, while the spatial base layers are coded with the same quantization step size. Balanced multiple scalable descriptions are generated by mixing the pre-encoded scalable bit streams. Each description alone is totally decodable by a standard SVC decoder. A preprocessor before a SVC decoder is employed to extract the packets from the highest quality bit stream. The experimental results show that our proposed scheme achieves improvements of 3.5dB and 3.9dB when compared to the methods based on spatial downspamling and temporal downsampling at 10% packet loss rate.
AB - In this paper, a scalable multiple description video coding method based on the scalable video extension of H.264/AVC (SVC) is presented. The proposed scheme employs a standard SVC encoder to generate several bit streams which have different bit rates. The spatial enhancement layers of these bit streams are quantized in an unbalanced fashion, while the spatial base layers are coded with the same quantization step size. Balanced multiple scalable descriptions are generated by mixing the pre-encoded scalable bit streams. Each description alone is totally decodable by a standard SVC decoder. A preprocessor before a SVC decoder is employed to extract the packets from the highest quality bit stream. The experimental results show that our proposed scheme achieves improvements of 3.5dB and 3.9dB when compared to the methods based on spatial downspamling and temporal downsampling at 10% packet loss rate.
KW - Multiple description coding
KW - SVC
KW - Unbalanced quantization
KW - Video streaming
UR - http://www.scopus.com/inward/record.url?scp=78651099592&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2010.5653989
DO - 10.1109/ICIP.2010.5653989
M3 - Conference contribution
AN - SCOPUS:78651099592
SN - 9781424479948
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 1293
EP - 1296
BT - 2010 IEEE International Conference on Image Processing
T2 - 2010 17th IEEE International Conference on Image Processing, ICIP 2010
Y2 - 26 September 2010 through 29 September 2010
ER -