Source-Channel Prediction for Error Resilient Video Coding
| dc.contributor.advisor | Ayele, Hailu (PhD) | |
| dc.contributor.author | Negash, Kibrom | |
| dc.date.accessioned | 2018-06-28T08:21:26Z | |
| dc.date.accessioned | 2023-11-04T15:15:00Z | |
| dc.date.available | 2018-06-28T08:21:26Z | |
| dc.date.available | 2023-11-04T15:15:00Z | |
| dc.date.issued | 2005-09 | |
| dc.description.abstract | Over recent decades the role of image in the communication of information has grown steadly. Advances in technologies underlying the capture, transfer, storage, and display of images as a means of communicating information has become technologically and economically feasible. More importantly, images are in many situations an extremely efficient means to communicate information. The approach in this thesis work is to modify conventional motion compensation prediction so as to improve or optimize the error resilience performance of the over all system; motion compensated prediction in conventional video coders is based on the encoder reconstruction of the previous frame where motion is estimated so as to minimize the encoder prediction error. Such design paradigm optimizes the prediction at the encoder and ignores the effect of packet loss. The thesis work is based on the literature surveys, the simulation results are based on the H.263 software and the necessary computation is done on MATLAB. The modified (source-channel prediction) scheme achieves better error resilience performance and better over all R-D trade off than its conventional counter part. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/123456789/4537 | |
| dc.language.iso | en | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | Video | en_US |
| dc.subject | Coding | en_US |
| dc.title | Source-Channel Prediction for Error Resilient Video Coding | en_US |
| dc.type | Thesis | en_US |