|Main Objective: The main objectives of this project, are:
- Study the use of MAP-decoding of MVs when applied to packet networks. Analysis of complexity constraints related with MAP decoding. Analysis of performance when compared to previous central decoding presented in , in the context of P2P transmissions. MAP decoding present excellent robustness but with some complexity, so we must study his feasibility and found the best trade of between robustness and complexity.
- Specification of a bit allocation model based on multi-resolution analysis (wavelets) that effectively enables highly scalable video coding. In this case the bit-allocation should consider simultaneously temporal and spatial decomposition.
- Optimization of the number of descriptions and bit allocation of video information based on contextual peer information such as number of available peers, rarity/abundance of a determined bitstream-chunk, etc..
- With these contributions we also aim to improve the video quality of state-of-the-art applications demanding video transmission using low-complexity.
|Start Date: 01-01-2012|
|End Date: 01-12-2015|
|Team: Maria Manuela Areias da Costa Pereira de Sousa|
|Groups: Multimedia Signal Processing – Cv|
|Partners: Marc Antonini - Universidade de Nice-Sophia Antipolis|
|Local Coordinator: Maria Manuela Areias da Costa Pereira de Sousa|