Guest Editorial: Cloud-Based Video Processing and Content Sharing

W ITH the rapid growth of IPTV and mobile video applications and driven by urgent demands from industry and users, video processing and content sharing technologies have received significant research attention in recent years. Cloud-based video processing and content sharing networks are promising technologies to orchestrate large-scale and efficient video distribution between mobile clients and multimedia cloud systems. The objective of this special issue (SI) is to identify and promote advancements in media cloud-based video processing and content sharing technologies to advance current and enable future anywhere and anytime video processing and streaming applications. It is a great honor of the editorial team to have 12 research groups share their latest research works and solutions to these challenges. The SI attracted a large number of submissions from North America, Europe, Australia, and Asia. Our Guest Editor (GE) team accepted 12 papers that cover multiple aspects of cloud-based video processing and content sharing. We hope that this SI will serve as a good reference for engineers, scientists, researchers, and academics in the field of cloud-based multimedia processing and communications. In the SI, in the first paper titled as “Towards cost-efficient content placement in media cloud: Modeling and analysis,” the authors present an approach for cloud-centric media network (CCMN) to obtain optimal placement strategy, with lower computational complexity. In the second paper titled as “Resource allocation with video traffic prediction in cloud-based space,” the authors aim to achieve cloud-based system performance by proposing a multi-resolution wavelet-based backpropagation prediction system for the video traffic in the cloud. The third paper titled as “Frame interpolation for cloud-based mobile video streaming” presents a technique that can readily be applied for real-time cloud-based HD video streaming. In the fourth paper titled as “A geometric approach to server selection for interactive video streaming,” the authors develop optimized multi-server selection schemes to improve the quality of service of video transmissions. The fifth paper titled as “Innetwork view synthesis for interactive multiview video systems” presents a new paradigm to solve the reference view selection problem and capitalize on cloud computing resources to perform fine adaptation close to the clients. In the sixth paper titled as “Delay-optimized video traffic routing in software-defined interdatacenter networks,” the authors develop a delay-optimized traffic routing scheme that can effectively prioritize and improve