Rice Univesrity Logo
    • FAQ
    • Deposit your work
    • Login
    View Item 
    •   Rice Scholarship Home
    • Rice University Graduate Electronic Theses and Dissertations
    • Rice University Electronic Theses and Dissertations
    • View Item
    •   Rice Scholarship Home
    • Rice University Graduate Electronic Theses and Dissertations
    • Rice University Electronic Theses and Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Rate-distortion optimized packet scheduling for video streaming

    Thumbnail
    Name:
    3216679.PDF
    Size:
    6.658Mb
    Format:
    PDF
    View/Open
    Author
    Cakareski, Jakov (Chakareski, Jacob)
    Date
    2006
    Advisor
    Girod, Bernd
    Degree
    Doctor of Philosophy
    Abstract
    Internet video streaming places new demands on source coding and network transport algorithms. The challenge is to deliver compressed video packets before their play-out deadline, despite of varying throughput, packet delay, and loss. This problem has to be solved in a way that simultaneously maximizes the video quality at the streaming client, meets transmission rate limitations, and satisfies latency constraints. The most significant recent advance in streaming technology is the emergence of rate-distortion optimized streaming techniques that take into account packet importance and knowledge about the channel in a Lagrange rate-distortion cost function J = D + lambdaR. The research in this thesis aims to overcome the current limitations in rate-distortion optimized packet scheduling, such that these techniques can be applied to a broader range of streaming problems, and a better end-to-end performance can be achieved. In particular, first we develop a new advanced framework for rate-distortion optimized video streaming which incorporates for the first time a general description scheme for the rate-distortion characteristics of packetized compressed video in the event of lost or omitted packets, and an iterative algorithm for computing optimal packet schedules in the presence of error concealment. Then, we derive instances of our framework for several advanced video streaming architectures, applications, and coding techniques, some of which could not be previously combined with rate-distortion optimized streaming due to its initial limitations. These include streaming over multiple network paths or from multiple media servers, streaming from an intermediate network proxy, and streaming with rich acknowledgements. Finally, we assess the performance of our framework through series of systematic experiments in all of these scenarios. The experimental results are accurately predicted through analysis. In addition, we evaluate the performance of rate-distortion optimized packet scheduling for streaming over network traces of packet losses and packet delays collected in the Internet.
    Keyword
    Electronics; Electrical engineering; Computer science
    Citation
    Cakareski, Jakov (Chakareski, Jacob). "Rate-distortion optimized packet scheduling for video streaming." (2006) Diss., Rice University. https://hdl.handle.net/1911/18877.
    Metadata
    Show full item record
    Collections
    • ECE Theses and Dissertations [597]
    • Rice University Electronic Theses and Dissertations [13783]

    Home | FAQ | Contact Us | Privacy Notice | Accessibility Statement
    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892
    Site Map

     

    Searching scope

    Browse

    Entire ArchiveCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsTypeThis CollectionBy Issue DateAuthorsTitlesSubjectsType

    My Account

    Login

    Statistics

    View Usage Statistics

    Home | FAQ | Contact Us | Privacy Notice | Accessibility Statement
    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892
    Site Map