KEYWORDS: Video, 3D video streaming, Cameras, Internet, Video compression, Computer programming, 3D video compression, Video coding, Quantization, Receivers
Virtual views in 3D-TV and multi-view video systems are reconstructed images of the scene generated synthetically
from the original views. In this paper, we analyze the performance of streaming virtual views over
IP-networks with a limited and time-varying available bandwidth. We show that the average video quality
perceived by the user can be improved with an adaptive streaming strategy aiming at maximizing the average
video quality. Our adaptive 3D multi-view streaming can provide a quality improvement of 2 dB on the average
- over non-adaptive streaming. We demonstrate that an optimized virtual view adaptation algorithm needs to
be view-dependent and achieve an improvement of up to 0.7 dB. We analyze our adaptation strategies under
dynamic available bandwidth in the network.
KEYWORDS: Video, Cameras, Receivers, Prototyping, Imaging systems, 3D video streaming, Computer programming, Video surveillance, 3D modeling, Network architectures
3D-Video systems allow a user to perceive depth in the viewed scene and to display the scene from arbitrary viewpoints
interactively and on-demand. This paper presents a prototype implementation of a 3D-video streaming
system using an IP network. The architecture of our streaming system is layered, where each information layer
conveys a single coded video signal or coded scene-description data. We demonstrate the benefits of a layered
architecture with two examples: (a) stereoscopic video streaming, (b) monoscopic video streaming with remote
multiple-perspective rendering. Our implementation experiments confirm that prototyping 3D-video streaming
systems is possible with today's software and hardware. Furthermore, our current operational prototype demonstrates
that highly heterogeneous clients can coexist in the system, ranging from auto-stereoscopic 3D displays
to resource-constrained mobile devices.
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.