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首页> 外文期刊>Eurasip Journal on Wireless Communications and Networking >Distributed video coding scheme of multimedia data compression algorithm for wireless sensor networks
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Distributed video coding scheme of multimedia data compression algorithm for wireless sensor networks

机译：用于无线传感器网络多媒体数据压缩算法的分布式视频编码方案

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Abstract The emergence of multimedia data has enriched people’s lives and work and has penetrated into education, finance, medical, military, communications, and other industries. The text data takes up a small space, and the network transmission speed is fast. However, due to its richness, the multimedia data makes it occupy an ample space. Some high-definition multimedia information even reaches the GB level, and the multimedia data network transmission is relatively slow. Compared with the traditional scalar data, the multimedia data better describes the characteristics of the transaction, but at the same time, the multimedia data itself has a large capacity and must be compressed. Nodes of wireless multimedia sensor networks have limited ability to process data. Traditional data compression schemes require high processing power of nodes and are not suitable for sensor networks. Therefore, distributed video codec scheme in recent years becomes one of the hot multimedia sensor network technologies, which is a simple coding scheme, coding complexity of decoding performance. In this paper, distributed video codec and its associated knowledge based on the study present a distributed video coding scheme and its improvements. Aiming at the problem that the traditional distributed video coding scheme cannot accurately decode the motion severe region and the boundary region, a distributed video coding algorithm based on gradient-domain ROI is proposed, which can enhance the coding efficiency of the severe motion region and improve the decoded image while reducing the code rate and quality, ultimately reducing sensor node energy consumption.
机译：摘要多媒体数据的出现丰富了人们的生命和工作，并渗透到教育，金融，医疗，军事，通信等行业。文本数据占用了一个小空间，网络传输速度快。然而，由于其丰富性，多媒体数据使其占据充足的空间。一些高清多媒体信息甚至达到GB级别，多媒体数据网络传输相对较慢。与传统的标量数据相比，多媒体数据更好地描述了交易的特性，但同时，多媒体数据本身具有大容量并且必须压缩。无线多媒体传感器网络的节点具有有限的处理数据的能力。传统的数据压缩方案需要高处理电量的节点，不适合传感器网络。因此，近年来的分布式视频编解码器方案成为热门多媒体传感器网络技术之一，这是一种简单的编码方案，编码了解码性能的复杂性。本文基于研究的分布式视频编解码器及其相关知识存在于分布式视频编码方案及其改进。针对传统分布式视频编码方案不能准确地解码运动严重区域和边界区域的问题，提出了一种基于梯度域ROI的分布式视频编码算法，这可以提高严重运动区域的编码效率并改善解码图像，同时降低了码率和质量，最终降低了传感器节点能量消耗。

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