西安工程大学学报2017，Vol.31Issue(4)：569-575,7.DOI:10.13338/j.issn.1674-649x.2017.04.021
大数据环境下海量多媒体信息过滤技术改进
Improvement of mass multimedia information filtering technology in big data environment
杨艳1
作者信息
- 1. 吕梁学院 物理系,山西 吕梁 033000
- 折叠
摘要
Abstract
The traditional multi media information filtering algorithm is not accurate and rigor-ous,and multiple data is easy to cause the collapse.Thus,under the big data environment,im-proved mass media information filtering technology is proposed.The algorithm optimization is made to support the latest multimedia information format identification.Strengthening the algo-rithm logic makes the algorithm deal with large data under the environment of multimedia in-formation surge condition.The multimedia feature recognition filter engine is used to enhance the filtering accuracy.The experiment proves that the improved filtering technology has the ad-vantages of high degree of recognition,filtration accuracy,good stability,etc.It can meet the fil-tering application requirements.关键词
大数据/多媒体信息过滤/多媒体格式IDKey words
big data/multimedia information filtering/the media format ID分类
信息技术与安全科学引用本文复制引用
杨艳..大数据环境下海量多媒体信息过滤技术改进[J].西安工程大学学报,2017,31(4):569-575,7.
