Service-oriented mobile multimedia cooperative storing and delivery scheme based on opportunistic cloud coding and content-centric cloud compression

Abstract

In order to improve the quality of multimedia communication and mobile users, the work efficiency of the cloud platform, the service-oriented mobile multimedia cooperative storing, and the delivery scheme were proposed based on opportunistic cloud coding and content-centric cloud compression. Firstly, according to the video frame and the multimedia content centric, the multimedia data compression algorithm was established based on time domain and frequency domain, which combined the image pixel scale and the component. Then, the opportunity cloud encoding program was proposed through the distortion scattering and the opportunity to cooperate with the cloud device control. Finally, the real-time transmission and cooperative feedback control of mobile multimedia streaming video content was proposed based on user requirements and service-driven demands. Experimental results show that the proposed scheme can provide high peak signal-to-noise ratio (PSNR) for large scale video frame transmission and keep high consistency and robustness from subjective experience to objective experience. In addition, the proposed scheme can significantly reduce the failure rate and improve the end-to-end communication performance.

Application of Quality of Experience in Networked Services: Review, Trend & Perspectives

“…In the future, minimization of packet delay and loss will increase the user satisfaction for cloud services and also cloud service provider will give compensation to the user if the QoS of the services are low as per the SLA. The compression of video and image cloud also decreases the QoE of users so the development of new storage algorithms which compresses the size of the file for storage without affecting the quality of the file is better for user satisfaction and also for cloud management (Lin 2016, Castiglione et al 2015. Integration of social media clouds for video hosting is required for long time duration of HD video hosting.…”

Mobile multimedia crowd service cooperation control protocol based on opportunistic wavelet

“…It can be concluded that the receiver can correctly decode the mobile multimedia stream, such as the formula (7). Data packet number of one frame [10,100] Size of data packet 1 kb…”

“…The video processing algorithm was mapped onto a learning method to improve machine to the parallel reconfigurable computing architecture [9]. The author of article [10] proposed the service-oriented mobile multimedia cooperative storing, and the delivery scheme to improve the quality of multimedia communication and mobile users, the work efficiency of the cloud platform. The security and privacy issues of multimedia services were investigated in article [11] by studying a newly emerging multimedia-oriented mobile social network, which helps users receive multimedia services not only from their online social communities.…”