The recent increase in the use of GPS-enabled devices has introduced a new demand for efficiently storing trajectory data. In this paper, we present a new technique that has a higher compression ratio for trajectory data than existing solutions. This technique splits trajectories into sub-trajectories according to the similarities among them. For each collection of similar sub-trajectories, our technique stores only one subtrajectory's spatial data. Each sub-trajectory is then expressed as a mapping between itself and a previous sub-trajectory. In general, these mappings can be highly compressed due to a strong correlation between the time values of trajectories. This paper presents evaluation results that show the superiority of our technique over previous solutions.

H.264/AVC is a novel video coding standard that provides better coding efficiency than previous video coding standards. In this paper, we propose a new error resilience scheme using a reversible data embedding technique based on H.264/AVC. The advantage of reversible data embedding is that it is lossless; the decoded video quality will be the same as the original video quality if the transmission is error free. Simulation results demonstrate the proposed scheme out beats current existing techniques on robustness and quality. Keywords-errorresilience, reversible data embedding, error concealment.

No abstract

No abstract

No abstract