Most existing Peer-to-Peer P2P Video-on-Demand VoD systems have been designed and optimized for the sequential playback. Most existing Peer-to-Peer P2P Video-on-Demand VoD systems have been designed and optimized for the sequen- tial playback. Since each peer receives distinct packets, a peer with a higher throughput can reconstruct the video at a higher quality. Through simulation, we show that our system outperforms a recent work, P2VoD. As multimedia applications have become part of contemporary daily life, numerous paradigm-shifting technologies in multimedia processing have emerged over the last decade. We demonstrate in the simulations that the correlated-channel P2P VoD systems with cross-channel resource sharing can achieve a higher average streaming capacity compared to the independent-channel P2P VoD systems without cross-channel resource sharing. This edition presents a comprehensive treatment of multimedia information mining, security, systems, coding, search, hardware, and communications as well as multimodal information fusion and interaction.
Yifeng He has been an assistant professor in the Department of Electrical and Computer Engineering, Ryerson University, Canada, since July 2009. With advances in the broadband Internet access technology and the coding techniques, video streaming services have become increasingly popular. The system serves a client request by streaming multiple layers of the requested video from separate peers. The proposed algorithm maximizes the network lifetime by jointly optimizing the encoding powers, the source rates, and the link rates. We further propose a hierarchical prefetching scheme to carry out the prefetching more effectively.
It provides you with the required foundation in video communications, including Peer-to-Peer P2P networks, wireless networks, and visual sensor networks. From problem formulations and theoretical analysis to practical algorithms, it facilitates the comprehensive understanding required to achieve optimized video and multimedia communications. When live multimedia data is transferred to more than one receiver over the network, the more number of duplicate packets are transferred. Mobile devices performing video coding and streaming over wireless and pervasive communication networks are limited in energy supply. Our approach is to approximately estimate the concurrent packet drop probability of two paths by taking into account the interference between different links, and to select the best path pair based on that estimation.
However current P2P VoD systems can only provide a video at a low streaming rate. All duplicate packets are removed at the nearest router of sender and retrieved from the nearest router of receiver. The existing buffer-for- warding architecture has a limitation in total upload capacity. The book examines the techniques required for optimal resource allocation over Internet, wireless cellular networks, wireless ad hoc networks, and wireless sensor networks. Peer-to-peer video streaming has emerged as an important means to transport stored video. The advancement in wireless communications and electronics has enabled the development of low-cost sensor networks. A rate-distortion model which predicts end-to-end video quality in throughput limited environments is presented and used to determine the over-provisioning nec-essary to avoid self-inflicted congestion.
We first describe three natural prefetching policies for exploiting sur plus peer upload capacity. The optimization of those schemes typically requires a centralized computation, which is not suitable for wireless ad hoc networks. The book identifies the unique characteristics of socially-aware video access and social content propagation, revealing the design and integration. Comprehensive and systematic, Optimal Resource Allocation for Distributed Video Communication presents a unified optimization framework for resource allocation across these systems. Specifically, we propose two novel multiple tree multicast protocols. However, this centralized architecture cannot provide streaming to a large population of users due to the limited upload capacity from the server. Such frequent seeks raise a great challenge to the design of the prefetching scheme.
In this paper, we present SlugCam, a solar-powered, wireless smart camera network that can be used in a variety of outdoor applications including video surveillance of public spaces, habitat and environmental monitoring, wildfire prevention and detection, to name a few. Consider a point-to-point communication network on which a number of information sources are to be multicast to certain sets of destinations. Another important contribution of SlugCam is to provide an open-source wireless camera network that can adapt to address the requirements of future outdoor video monitoring applications. In this paper, we investigate the streaming capacity in P2P VoD systems, which is defined as the maximum supported streaming rate that can be received by every receiver. In this paper, we propose a hybrid-forwarding P2P VoD architecture, which integrates both the buffer-forwarding approach and storage-forwarding approach. Optimized resource allocation for scalable video communications -- 3. From problem formulations and theoretical analysis to practical algorithms, it facilitates the comprehensive understanding required to achieve optimized video and multimedia communications.
In this paper, we provide a review of recent advances on optimal resource allocation for video communication over some major distributed systems including P2P streaming systems, wireless ad hoc networks, and wireless visual sensor networks. To analyze, control, and optimize the rate-distortion R-D behavior of the wireless video communication system under the energy constraint, we develop a power-rate-distortion P-R-D analysis framework, which extends the traditional R-D analysis by including another dimension, the power consumption. We consider the design and potential benefits of peer- assisted video-on-demand, in which participating peers assist the server in delivering VoD content. However in internet applications, lack of multicast services play a deterrent role in group communication. Presents the resource allocation techniques for scalable video communications over Internet or wireless networks Examines two resource allocation problems-distributed throughput maximization for scalable P2P Video-on-Demand Vo D systems and streaming capacity for P2P Vo D systems Outlines an optimal prefetching framework for reducing seeking delays in P2P Vo D applications Examines distributed optimization techniques for unicast and multicast video streaming over wireless ad hoc networks Considers the network lifetime maximization problem in wireless visual sensor networks Detailing methods that can immediately improve the performance of your video communication systems, this book presents multiple applications of optimal resource allocation.
Comprehensive and systematic, Optimal Resource Allocation for Distributed Video Communication presents a unified optimization framework for resource allocation across these systems. We use dual decomposition to separate the optimization problem into multiple sub-problems, which are solved at each individual peer respectively. Additionally, using its computer vision software, the system only records and transmits information upon event detection which contributes both to the system's energy efficiency as well as its low network bandwidth requirements. We introduce a new class of problems called network information flow which is inspired by computer network applications. In a scalable P2P VoD system, the received video quality at each peer is dependent on the throughput if the packet redundancy has been addressed with coding techniques. SlugCam also includes a Web-based server where video data is stored as well as a Web-based user interface that allows end users to interact with the system, tag, query and retrieve video files, and manage SlugCam nodes remotely.
Fundamentals of Multimedia Emerging Multimedia Standards, Huifang Sun Fundamental Methods in Image Processing, April Khademi, Anastasios N. Based on the pattern, we set up an analogy between the optimization problem of minimizing the seeking distance and the optimal scalar quantization problem. The video stream transmitted by the source contains H. Optimal resource allocation for P2P streaming systems -- 4. In this paper, we open a new direction of research that treats different peer-to-peer sessions with different priorities, and present Diverse, a novel application-layer approach to achieve service differentiation across different sessions.
The book examines the techniques required for optimal resource allocation over Internet, wireless cellular networks, wireless ad hoc networks, and wireless sensor networks. Network lifetime maximization is a critical issue in wireless sensor networks since each sensor has a limited energy supply. In peer-to-peer P2P video-on-demand VoD systems, a scalable source coding is a promising solution to provide heterogeneous peers with different video quality. In the traditional compress-then-analyze paradigm, images are acquired, compressed and transmitted for further analysis. Simulation results show that the proposed video multicast scheme yields a superior video quality compared to the double-tree routing scheme. This brief presents new architecture and strategies for distribution of social video content.