41,640 research outputs found

    VANETs Multipath Video Data Streaming Considering Road Features

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    Multipath video streaming in Vehicular Ad-hoc Networks (VANETs) is an evolving research topic. The adoption of video transmission in VANETs communication has become essential due to the comprehensiveness and applicability of video data for on-road advertisement and infotainment. Meanwhile, several research studies have considered how to apply and improve the transmission of the video quality. Due to this, the concurrent multipath transmission has been employed in order to achieve load balancing and path diversity, because of the high data rate of the video data.  However, the main nature of the road, which is the pathway for VANET nodes has not been considered explicitly. In this paper, the road features are considered for VANETs multipath video streaming based on the greedy geographical routing protocol. Thus, VANETs Multipath Video Streaming based on Road Features (VMVS-RF) protocol has been proposed. The protocol was compared with an ordinary Multipath Video Streaming (MVS). The result demonstrates that the proposed VMVS-RF protocol outperforms the MVS in terms of Data Receiving Rate (DRR), Structural Similarity (SSIM) index and Packet Loss Ratio (PLR)

    Collaborative video streaming with Raptor network coding

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    We investigate the problem of collaborative video streaming with Raptor network coding over overlay networks. We exploit path and source diversity, as well as basic processing capabilities of network nodes to increase the overall throughput and improve the video quality at the clients. We consider an architecture where several streaming servers simultaneously deliver video information to a set of clients. The servers apply Raptor coding on the video packets for error resiliency, and the forwarding peer nodes further combine the Raptor coded video packets in order to increase the packet diversity in the network. We find the optimal source and channel rate allocation in such a collaborative streaming system. The resulting scheme efficiently exploits the available network resources for improved video quality. The experimental evaluation demonstrates that it typically outperforms Raptor video streaming systems that do not use network coding

    Streaming video using cooperative networking

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    Title from PDF of title page (University of Missouri--Columbia, viewed on September 10, 2010).The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file.Dissertation advisor: Dr. Wenjun Zeng.Vita.Ph. D. University of Missouri--Columbia 2009.The main objective of this dissertation is to improve the overall video streaming performance in various networking environments, such as IP-multicast in wired network and wireless mesh networks (WMNs), using cooperation among participants including clients and routers. We investigate a number of key challenging issues associated with video streaming, and we explore solutions to those issues using a cooperative networking approach, which includes constructing overlay Peer-to-Peer (P2P) retransmission networks and exploring hybrid architecture of content distribution networks (CDN) and P2P networks. To solve the reliability issue in IP-multicast, we propose a novel overlay P2P retransmission architecture to exploit path diversity. An approach that leverages both disjoint path finding and periodic selective probing to take into account peer's recent packet loss probability, retransmission delay and recent retransmission performance is proposed to effectively construct an efficient and dynamic overlay peer retransmission network. To improve the video streaming quality over WMNs, we design a Unified Peer-to-Peer and Cache (UPAC) framework for high quality video on demand services over infrastructure multi-hop WMNs. In this framework, mesh routers work cooperatively with mesh clients to construct a CDN and P2P hybrid structure to improve the QoS of video streaming. We present a series of solutions to address the key challenges in video streaming over WMNs, i.e., the design of a new high throughput routing metric, a new enhanced routing algorithm, a cross-layer server and path selection strategy, a novel admission control algorithm with per-flow routing and a new P2P structure for video streaming. Simulation results show that the proposed UPAC framework can utilize the capacity of WMNs better than existing approaches and improve the video streaming quality over WMNs significantly.Includes bibliographical reference

    An intelligent routing approach for multimedia traffic transmission over SDN

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    Nowadays, multimedia applications such as video streaming services have become significantly popular, especially with the rapid growth of users, various devices, and the increased availability and diversity of these services over the internet. In this case, service providers and network administrators have difficulties ensuring end-user satisfaction because the traffic generated by such services is more exposed to multiple network quality of service impairments, including bandwidth, delay, jitter, and loss ratio. This paper proposes an intelligent-based multimedia traffic routing framework that exploits the integration of a reinforcement learning technique with software-defined networking to explore, learn and find potential routes for video streaming traffic. Simulation results through a realistic network and under various traffic loads demonstrate the proposed scheme's effectiveness in providing a better end-user viewing quality, higher throughput and lower video quality switches when compared to the existing techniques

    CYBERCIEGE VIDEOS: FROM ENGLISH TO SPANISH; VÍDEOS DE CYBERCIEGE: DEL INGLÉS AL ESPAÑOL

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    CyberCIEGE, a video game developed by the Naval Postgraduate School, supports cybersecurity awareness and education. A set of popular educational movies accompanies the game. The CyberCIEGE video collection was initially developed in English, thus limiting the diversity of its user population. In addition, the video format of the original movies (SWF) is being phased out due to security concerns associated with SWF video players. This capstone addresses the need for increased diversity of those familiar with cybersecurity basics by further introducing the Spanish-speaking community to 21st-century cybersecurity concepts. The CyberCIEGE movies were translated into Spanish to reach a broader audience while retaining the technical meaning of the concepts discussed. To contain costs, we demonstrate that it is possible to use open-source tools freely available for the Linux Operating System platform to produce reliable movies in both English and Spanish for web streaming. Recordings were created with Audacity and integrated as separate tracks to each corresponding movie via OpenShot. Afterward, the movies were exported to the MP4 file format for web streaming. In addition, the original English language movies were directly converted to MP4 file format via OpenShot. Detailed documentation ensures the repeatability of our processes. This work has increased the longevity of the CyberCIEGE video collection while expanding its viewership to a larger, more diverse audience.Chief Petty Officer, United States NavyApproved for public release. Distribution is unlimited

    MSPlayer: Multi-Source and multi-Path LeverAged YoutubER

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    Online video streaming through mobile devices has become extremely popular nowadays. YouTube, for example, reported that the percentage of its traffic streaming to mobile devices has soared from 6% to more than 40% over the past two years. Moreover, people are constantly seeking to stream high quality video for better experience while often suffering from limited bandwidth. Thanks to the rapid deployment of content delivery networks (CDNs), popular videos are now replicated at different sites, and users can stream videos from close-by locations with low latencies. As mobile devices nowadays are equipped with multiple wireless interfaces (e.g., WiFi and 3G/4G), aggregating bandwidth for high definition video streaming has become possible. We propose a client-based video streaming solution, MSPlayer, that takes advantage of multiple video sources as well as multiple network paths through different interfaces. MSPlayer reduces start-up latency and provides high quality video streaming and robust data transport in mobile scenarios. We experimentally demonstrate our solution on a testbed and through the YouTube video service.Comment: accepted to ACM CoNEXT'1

    On the Limit of Fountain MDC Codes for Video Peer-To-Peer Networks

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    Video streaming for heterogeneous types of devices, where nodes have different devices characteristics in terms of computational capacity and display, is usually handled by encoding the video with different qualities. This is not well suited for Peer-To-Peer (P2P) systems, as a single peer group can only share content of the same quality, thus limiting the peer group size and efficiency. To address this problem, several existing works propose the use of Multiple Descriptions Coding (MDC). The concept of this type of video codec is to split a video in a number of descriptions which can be used on their own, or aggregated to improve the global quality of the video. Unfortunately existing MDC codes are not flexible, as the video is split in a defined number of descriptions. In this paper, we focus on the practical feasibility of using a Fountain MDC code with properties similar to existing Fountain erasure codes, including the ability to create any number of descriptions when needed (on the fly). We perform simulations using selected pictures to assess the feasibility of using these codes, knowing that they should improve the availability of the video pieces in a P2P system and hence the video streaming quality. We observe that, although this idea seems promising, the evaluated benefits, demonstrated by the PSNR values, are limited when used in a real P2P video streaming system

    Fault-Tolerant Real-Time Streaming with FEC thanks to Capillary Multi-Path Routing

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    Erasure resilient FEC codes in off-line packetized streaming rely on time diversity. This requires unrestricted buffering time at the receiver. In real-time streaming the playback buffering time must be very short. Path diversity is an orthogonal strategy. However, the large number of long paths increases the number of underlying links and consecutively the overall link failure rate. This may increase the overall requirement in redundant FEC packets for combating the link failures. We introduce the Redundancy Overall Requirement (ROR) metric, a routing coefficient specifying the total number of FEC packets required for compensation of all underlying link failures. We present a capillary routing algorithm for constructing layer by layer steadily diversifying multi-path routing patterns. By measuring the ROR coefficients of a dozen of routing layers on hundreds of network samples, we show that the number of required FEC packets decreases substantially when the path diversity is increased by the capillary routing construction algorithm
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