Privacy-preserving multimedia cloud computing via compressive sensing and sparse representation
Privacy-preserving multimedia cloud computing via compressive sensing and sparse representation
复制标题
DOI：
10.1109/isic.2012.6449752
复制
发表时间：
2012-08
期刊：
影响因子：
--
通讯作者：
Li-Wei Kang;K. Muchtar;Jyh-Da Wei;Chih-Yang Lin;Duan-Yu Chen;C. Yeh
中科院分区：
文献类型：
--
作者：
Li-Wei Kang;K. Muchtar;Jyh-Da Wei;Chih-Yang Lin;Duan-Yu Chen;C. Yeh
云计算是为通过互联网提供各种计算和存储服务而开发的新兴技术。在本文中，我们提出了一个隐私保护的云感知场景压缩多媒体应用，包括多媒体压缩，适应，编辑/操作，增强，检索和识别。在所提出的框架中，我们调查我们/现有的压缩感知（CS）为基础的多媒体压缩和安全压缩多媒体“trans-sensing”技术的适用性的基础上稀疏编码安全地提供压缩感知的多媒体数据在云感知的情况下。此外，我们还调查了我们/现有的稀疏编码为基础的框架，利用强大的媒体云功能的多媒体应用程序的适用性。更具体地说，考虑到多媒体云计算的几个基本挑战，如安全性和网络/设备的异构性，我们调查CS和稀疏编码技术在多媒体传输和应用中的应用。因此，我们可以通过稀疏编码为隐私保护多媒体应用程序构建一个统一的云感知框架。
Cloud computing is an emerging technology developed for providing various computing and storage services over the Internet. In this paper, we proposed a privacy-preserving cloud-aware scenario for compressive multimedia applications, including multimedia compression, adaptation, editing/manipulation, enhancement, retrieval, and recognition. In the proposed framework, we investigate the applicability of our/existing compressive sensing (CS)-based multimedia compression and securely compressive multimedia “trans-sensing” techniques based on sparse coding for securely delivering compressively sensed multimedia data over a cloud-aware scenario. Moreover, we also investigate the applicability of our/existing sparse coding-based frameworks for several multimedia applications by leveraging the strong capability of a media cloud. More specifically, to consider several fundamental challenges for multimedia cloud computing, such as security and network/device heterogeneities, we investigate the applications of CS and sparse coding techniques in multimedia delivery and applications. As a result, we can build a unified cloud-aware framework for privacy-preserving multimedia applications via sparse coding.