大数据环境下可视媒体版权保护模式研究

Study of Copyright Protection Scheme of Visual Media in Big Data Environment

大数据技术的快速发展与应用,加快了可视媒体大数据的传播与利用。可视媒体数据的特点与广泛应用也带来了一些新的可视媒体大数据安全性问题。构建网络环境可视媒体大数据版权保护模式,可为数字图书馆可视媒体应用服务提供安全保障,增强图书馆数字资源综合服务能力。充分挖掘可视媒体价值稀疏性与视觉稀疏性,提取可视媒体稀疏特征,建立可视媒体大数据稀疏感知计算模型,从可视媒体稀疏特性角度给出可视媒体大数据版权加密、版权认证、版权告示与版权审计追踪方案设计思路,构建可视媒体大数据版权保护应用新模式。结合数字图书馆应用实践验证了该版权保护模式的有效性,该版权保护模式可较好维护数字图书馆中可视媒体大数据机密性、完整性、可用性、可审计性,切实提升大数据环境数字图书馆可视媒体内容服务能力。

Rapid development and application of big data technology is speeding up the dissemination and utilization of visible media big data. Features and intensive application of visual media also bring about some suecurity issue. Construction of copyright protection mechanism of visual media big data under Internet environment can provide safety guarantee for content services of visual media in digital library,and ehance integrated service ability of digital resources in digital library. Firstly,sparse features were extracted by eploiting the data sparsity and perception sparcity of visual media,and then a sparse perception computing model for visual media big data was built. Then the design idea of visual media copyright encryption,copyright authentication,copyright notice and audit trail scheme were given from the point of view of sparse feature computation of visual media. Finally,the copyright protection application schema of visual media big data under network environment was developed. Its application in digital library prove the effectiveness of this copygright protection mechnisam of visual media. It could safeguard the confidentiality,integrity,availability,and auditing of visual media big data in digital library,and enhance content service ability of visual media in digital library under big data environment.