We consider rate-distortion (RD) optimized multi-flow video delivery in unstructured overlay networks. We show
that this problem can be studied as a distributed rate allocation. To solve the problem over the participating peers
in the overlay, we apply classical decomposition techniques such that the network-wide utility of video distortion is
minimized. Media packets are assumed to be piggy-backed with RD preambles that contain information regarding
their impact on decoder video distortion and their size. This allows for converting the calculated optimal rate
allocation at every node into simple forwarding or dropping actions. Furthermore, the proposed distributed
media streaming framework employs a network inference algorithm for minimizing the flow of duplicate packets
over the network and utilizing thus more efficiently the available resources. Our simulation results indicate that
significant quality benefits can be achieved when the precise RD characteristics of a media presentation are taken
into account.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.