文章基本信息

标题：Object-based Video compression using neural networks
作者：Soumaya Ghorbel Maher Ben Jemaa Mohamed Chtourou
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2011
卷号：8
期号：4
出版社：IJCSI Press
摘要：This paper presents a new object-based video compression approach. It consists on predicting video objects motions throughout the scene. Neural networks are used to carry out the prediction step. A multi-step- ahead prediction is performed to predict the video objects trajectories over the sequence. In order to reduce video data, only the background of the video sequence is transmitted with the different detected video objects as well as their initial properties such as placement and dimensions. Experimental results show the effectiveness of the proposed approach in terms of the compression rates.
关键词：video compression; object tracking; neural network; multi;step;ahead prediction