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Design And Analysis Of Scalable Video Streaming Systems. Musab S. Al-HadrusiWayne State University Follow. Despite the advancement in multimedia streaming technology, many multimedia applications are still face major challenges, including provision dissertation video streaming Quality-of-Service QoSdissertation video streaming, system scalability, limited resources, and cost.
In this dissertation, we develop and analyze a new set of metrics based on two particular video streaming systems, namely: 1 Video-on-Demand VOD with video advertisements system and 2 Automated Video Surveillance System AVS.
We address the main issues in the design of commercial VOD systems: scalability and support of video advertisements. We develop a scalable delivery framework for streaming media content with video advertisements. The delivery framework combines the benefits of stream merging and periodic broadcasting. In addition, we propose new scheduling policies that are well-suited for the dissertation video streaming delivery framework.
We also propose a new prediction scheme of the ad viewing times, called Assign Closest Ad Completion Time ACA. Moreover, we propose an enhanced business model, in which the revenue generated from advertisements is used to subsidize the price. Additionally, we investigate the support of targeted advertisements, whereby clients receive ads that are well-suited for their interests and needs.
Furthermore, we dissertation video streaming the clients with the ability to select from multiple price options, each with an associate expected number of viewed ads. We provide detailed analysis of the proposed VOD system, considering realistic workload and a wide range of design parameters. In the second system, Automated Video Surveillance AVSwe consider the system design for optimizing the subjects recognition probabilities, dissertation video streaming.
We focus on the management and the control of various Pan, Tilt, Zoom PTZ video cameras. In particular, we develop a camera management solution that provides the best tradeoff between the subject recognition probability and time complexity.
We consider both subject grouping and clustering mechanisms. In subject grouping, we propose the Grid Based Grouping GBG and the Elevator Based P lanning EBP algorithms. In the clustering approach, we propose the GBG with Clustering GBGC dissertation video streaming the EBP with Clustering EBPC algorithms. We characterize the impact of various factors on recognition probability.
These factors include resolution, pose and zoom-distance noise. We provide detailed analysis of the camera management solution, considering realistic workload and system design parameters, dissertation video streaming. Al-Hadrusi, Musab S. Wayne State University Dissertations. Other Communication Commons. Advanced Search. Home About FAQ My Account DigitalCommons WayneState ISSN Accessibility Statement Privacy Policy. Skip to main content Home About FAQ My Account.
DigitalCommons WayneState. Title Dissertation video streaming And Analysis Of Scalable Video Streaming Systems. Author Musab S. Department Electrical and Computer Engineering. Abstract Despite the advancement in multimedia streaming technology, many multimedia applications are still face major challenges, including provision of Quality-of-Service QoSsystem scalability, limited resources, and cost. Recommended Citation Al-Hadrusi, dissertation video streaming, Musab S.
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, time: 1:08:09"Maximizing Resource Utilization In Video Streaming Systems " by Mohammad A. Alsmirat
Fill in the fields according to the instructions for each one. Watch the video below for more details. Turn in the submission form: a. Download the submission form from blogger.com b. Open on your computer (not your internet browser) or in Adobe Acrobat and fill it in. c. Save as "PlanB_LastName_ANumber" d Video streaming has recently grown dramatically in popularity over the Internet, Cable TV, and wire-less networks. Because of the resource demanding nature of video streaming applications, maximizing resource utilization in any video streaming system is a key factor to increase the scalability and decrease the cost of the system. Resources to utilize include server bandwidth, network bandwidth Author: Mohammad Abdullah Alsmirat Electronic Theses and Dissertations Student Works Effects of Video Game Streaming on Consumer Attitudes and Behaviors Lisa B. Foster East Tennessee State Universtiy Follow this and additional works at:blogger.com Part of theOther Communication Commons
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