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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.<\/jats:p>","DOI":"10.1186\/s13638-019-1571-5","type":"journal-article","created":{"date-parts":[[2019,11,27]],"date-time":"2019-11-27T02:02:32Z","timestamp":1574820152000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Distributed video coding scheme of multimedia data compression algorithm for wireless sensor networks"],"prefix":"10.1186","volume":"2019","author":[{"given":"Ning","family":"Ma","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,11,27]]},"reference":[{"issue":"3","key":"1571_CR1","doi-asserted-by":"publisher","first-page":"1159","DOI":"10.1007\/s11276-018-1696-1","volume":"25","author":"K Guleria","year":"2019","unstructured":"K. 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