A Statistical Study of Arien Sequences for an H.264 Prediction Module Lower Complexity
Donia Ammous, Amina Kessentini, Abdelaziz Kallel, Fahmi Kammoun, Nouri Masmoudi · Journal of Testing and Evaluation · 2023
ABSTRACT Advanced video coding, or H.264/AVC has been proved to possess a highly complex encoder with a block motion estimation (ME) scheme, entropy coding and a prediction module. Typical applications of unmanned aerial vehicles (UAVs) require real-time video compression. As a result, the current study aims to develop an approach to decrease the computing complexity of the prediction module. The software algorithm that was developed helps basic functions to be achieved in the prediction module. In fact, the user can set up, manage, deploy, and monitor the UAVs in real time. Evaluations obtained in this paper have shown that the adopted approach can significantly improve the execution time of coding and, consequently, the network performance. When comparing the original method of the Laboratory of Electronics and Information’s software with the suggested approach, experimental results show that the proposed method had achieved an increase in execution time from 3.544–15.574 %.