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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hao Chen Ruimin Hu Zhongyuan Wang Rui Zhong |
| Copyright Year | 2010 |
| Description | Author affiliation: National Engineering Research Center for Multimedia software, Wuhan University, China (Hao Chen; Ruimin Hu; Zhongyuan Wang; Rui Zhong) |
| Abstract | Inter prediction based on block matching motion estimation is important for video coding. But this method suffers from the additional overhead in data rate representing the motion information that needs to be transmitted to the decoder. To solve this problem, we present an improved implicit motion information inter prediction algorithm for P slice in H.264/AVC based on the spatio-temporal adaptive localized learning (STALL) model. According to 4 × 4 block transform structure in H.264/AVC, we first adaptively choose nine spatial neighbors and nine temporal neighbors, and a localized 3D casual cube is designed as training window. By using these information, the model parameters could be adaptively computed based on the Least Square Prediction (LSP) method. Finally, we add a new inter prediction mode into H.264/AVC standard for P slice. The experimental results show that our algorithm improves encoding efficiency compared with H.264/AVC standard, with relatively increases in complexity. |
| Starting Page | 194 |
| Ending Page | 197 |
| File Size | 106872 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424471348 |
| e-ISBN | 9781424471355 |
| DOI | 10.1109/PCS.2010.5702459 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-08 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Training Adaptation model Predictive models LSP STALL Automatic voltage control Encoding Inter prediction Decoding Pixel |
| Content Type | Text |
| Resource Type | Article |
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