TY - GEN
T1 - Scalable user-adaptive multiview video coder
AU - Velisavljevic, Vladan
AU - Chakareski, Jacob
AU - Stankovic, Vladimir
PY - 2013
Y1 - 2013
N2 - We derive an optimization framework for joint view and rate scalable coding of multi-view video content represented in the texture plus depth format. The optimization enables the sender to select the subset of coded views and their encoding rates such that the aggregate distortion over a continuum of synthesized views is minimized. We construct the view-rate scalable bitstream such that it delivers optimal performance simultaneously over a discrete set of transmission rates. In conjunction, we develop a user interaction model that characterizes the view selection actions of the client as a Markov chain over a discrete state-space. Our scheme outperforms the state-of-the-art H.264 SVC codec as well as a multi-view wavelet-based coder equipped with a uniform rate allocation strategy, across all scenarios studied. Finally, we observed that the interactivity-aware coding delivers superior performance over conventional allocation techniques that do not anticipate the client's view selection actions in their operation.
AB - We derive an optimization framework for joint view and rate scalable coding of multi-view video content represented in the texture plus depth format. The optimization enables the sender to select the subset of coded views and their encoding rates such that the aggregate distortion over a continuum of synthesized views is minimized. We construct the view-rate scalable bitstream such that it delivers optimal performance simultaneously over a discrete set of transmission rates. In conjunction, we develop a user interaction model that characterizes the view selection actions of the client as a Markov chain over a discrete state-space. Our scheme outperforms the state-of-the-art H.264 SVC codec as well as a multi-view wavelet-based coder equipped with a uniform rate allocation strategy, across all scenarios studied. Finally, we observed that the interactivity-aware coding delivers superior performance over conventional allocation techniques that do not anticipate the client's view selection actions in their operation.
UR - http://www.scopus.com/inward/record.url?scp=84888861313&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84888861313&partnerID=8YFLogxK
U2 - 10.1109/ICDSP.2013.6622800
DO - 10.1109/ICDSP.2013.6622800
M3 - Conference contribution
AN - SCOPUS:84888861313
SN - 9781467358057
T3 - 2013 18th International Conference on Digital Signal Processing, DSP 2013
BT - 2013 18th International Conference on Digital Signal Processing, DSP 2013
T2 - 2013 18th International Conference on Digital Signal Processing, DSP 2013
Y2 - 1 July 2013 through 3 July 2013
ER -