Emerging Technologies, Infrastructures, and Applications for Video Streaming over Future Communication Networks
International Journal of Digital Multimedia Broadcasting
e objective of this special issue is to provide a premier forum for researchers working on emerging technologies and applications for video streaming to present their recent research results. A substantial number of articles were submitted, and a er a thorough peer review process, eight highquality articles were selected to be included in this special issue. ese papers cover emerging technologies and applications for content-rich real-time video streaming services, including QoS prediction
... nism, multimedia content transmission technologies, multimedia object detection, and so on. We believe that the research articles collected in this special issue will introduce readers to the recent advancements and interesting research directions in the field of multimedia technologies. e paper by G. X. Hu et al. introduces a new small image objection detection model to achieve good image detection accuracy. e proposed model not only ensures the integrity of the feature of the large object but also preserves the full detail feature of the small objects by extracting the multiscale feature of the image. e paper by R. Liu et al. presents a novel homomorphic encryption technology-based method for verification of video data integrity. e simulation results show that the proposed method is superior to comparison schemes in all aspects, and it suggests that the proposed scheme is serving better for the video data integrity verification purpose in the cloud environment. e paper by T. Yi and C. Fang jointly combines the Matter Element Analysis (MEA) method, fuzzy set theory, and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) to design a fuzzy matter element model, which can be used to evaluate the complexity of UML class diagram and predict the complexity of so ware quality. e paper by W. Lu et al. proposes a priority-aware multipath TCP (MPTCP)-based data distribution solution in order to provide multimedia applications with many attractive benefits including goodput performance improvement, latency reduction, and high-quality users' quality of experience for multimedia streaming services. e paper by Y. Song et al. introduces an improved artificial bee colony (ABC) algorithm for efficient multimedia streaming over wireless network environments. e experimental results show that the proposed algorithm not only ensures the real-time transmission requirement, but also reduces the power consumption of wireless network. e paper by Q. Liu et al. presents a novel loss-aware multipath data delivery solution, which extends to the Stream Control Transmission Protocol (SCTP)'s concurrent multipath transfer mechanism, necessitating the following aims: (i) providing SCTP-CMT with a loss-aware bandwidth aggregation and parallel transmission mechanism and (ii) improving data delivery performance in a heterogeneous wireless network environment. International Journal of Digital Multimedia Broadcasting e paper by W. Ma et al. first introduces a novel neural collaborative filtering model for QoS prediction using transfer learning technology. Next, the authors design a novel interaction layer to represent the relationship between latent embedding factors of the nodes. Finally, the authors utilize partial fine-tuning and maximum mean discrepancy (MMD) measurement to train the target domain model to implement domain adapting. e experimental results show that the proposed model can outperform the existing QoS prediction models in a video streaming P P network environment. e paper by W. Wang et al. regards a video streaming scheduling event in wireless networks as a so real-time scheduling event and then proposes a dynamic so real-time scheduling mechanism combined with preemption threshold for streaming media. e simulation results demonstrate the benefits of applying the proposed mechanism to a so realtime system.