The proposed transcoding system consists of the spatial-resolution reduction and the temporal-resolution reduction method via visual attention model analysis. In the spatial domain, the visual attention model can be used to obtain the visual attention region. Then, the bitrate can be reduced since we can extract attention region of the original frame. The attention region conveys the same concept as that of the original frame. In the temporal domain, a frame skipping algorithm is proposed for reducing the temporal resolution to fit the channel target bitrate. The visual attention model is employed to measure the frame complexity in order to determine whether the frames should be skipped or not. Then, we can preserve the significant frames to avoid jerky effect. After combining with the motion vector composition algorithm, we can speedup the transcoding process with slight quality degradation.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0724108-132026 |
| Date | 24 July 2008 |
| Creators | Chen, Shih-meng |
| Contributors | Chia-Hung Yeh, Jih-Ching Chiu, Hsuan-Ting Chang, C. H. Kuo, Ming-Sui Lee |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0724108-132026 |
| Rights | not_available, Copyright information available at source archive |
Page generated in 0.0027 seconds