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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Junhui Hou Shuai Wan Zhan Ma Lap-Pui Chau |
| Copyright Year | 2015 |
| Description | Author affiliation: Nanyang Technol. Univ., Singapore, Singapore (Junhui Hou; Lap-Pui Chau) || Nanjing Univ., Nanjing, China (Zhan Ma) || Northwestern Polytech. Univ., Xi'an, China (Shuai Wan) |
| Abstract | In this paper, we propose a linear dependent rate-quantization model for video enhancement layers encoding in H.264/AVC based scalable video coding (SVC). It is noted that the proposed model is applicable for different scalable structures, such as temporal, quality, spatial and combined scalability. Leveraging the base layer information (such as bitrate and quantization parameter), proposed model can accurately predict the number of bit required for the enhancement layer encoding. Such linear model demonstrates the high accuracy for bitrate estimation at enhancement layers, with the average prediction accuracy over 94%. It has the noticeable improvement from the existing works, without requiring additional complexity increase. Meanwhile, proposed model is applied to do the rate control for enhancement layers encoding. Experimental results show that the average bitrate mismatch error can be significantly reduced compared with the existing algorithms. |
| Starting Page | 2768 |
| Ending Page | 2771 |
| File Size | 360214 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479983919 |
| DOI | 10.1109/ISCAS.2015.7169260 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-05-24 |
| Publisher Place | Portugal |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Encoding Bit rate Scalability Video coding Accuracy Static VAr compensators Predictive models |
| Content Type | Text |
| Resource Type | Article |
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