Peer-to-peer video streaming with interactive region-of-interest

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Abstract/Contents

Abstract
Increasing spatial resolution offered by digital imaging sensors and growing capacities of storage devices are helping the rise of high-spatial-resolution digital video. Such videos offer the possibility of viewing an arbitrary region-of-interest (RoI) interactively. The user can pan/tilt/zoom while watching the video. This allows watching user-selected portions of high-resolution video even on displays of lower spatial resolution. In the case of remote streaming, it avoids transmitting the entire field-of-view in high resolution, thus reducing required data rate. The first main contribution of this thesis is spatial-random-access-enabled video compression. The goal is to encode the video content once such that arbitrary RoIs corresponding to different zoom factors can be extracted from the compressed bit-stream, thus avoiding a dedicated encoder for each user. We explore the trade-off between storage space and mean transmission bit-rate. We show how to choose the slice size for video coding for minimizing the mean transmission bit-rate. Recently, peer-to-peer (P2P) video streaming has shown good potential for enabling large-scale video multicast at much lower cost than currently applied techniques. The second main contribution of this thesis is the design of a P2P live multicast streaming system that allows each user to independently control pan/tilt/zoom while still exploiting the commonalities in their RoIs for delivering content in a P2P manner. We present a distributed P2P protocol, which is run at each client and allows each client to receive and relay relevant data in real time. The protocol is designed by keeping in mind that the overlaps among users' RoIs are highly transient. Our findings indicate that to support the same number of clients as traditional client-server unicast, our P2P approach requires much less server uplink bandwidth. We show how to allocate the server bandwidth for streaming regions that vary in popularity and rate-distortion operating points.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2010
Issuance monographic
Language English

Creators/Contributors

Associated with Mavlankar, Aditya Atul
Associated with Stanford University, Department of Electrical Engineering
Primary advisor Girod, Bernd
Thesis advisor Girod, Bernd
Thesis advisor Gray, Robert M, 1943-
Thesis advisor Singh, Jatinder, 1964-
Advisor Gray, Robert M, 1943-
Advisor Singh, Jatinder, 1964-

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Aditya Atul Mavlankar.
Note Submitted to the Department of Electrical Engineering.
Thesis Thesis (Ph. D.)--Stanford University, 2010.
Location electronic resource

Access conditions

Copyright
© 2010 by Aditya Atul Mavlankar
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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