2.50
Hdl Handle:
http://hdl.handle.net/10547/332937
Title:
User-action-driven view and rate scalable multiview video coding
Authors:
Chakareski, Jacob; Velisavljević, Vladan ( 0000-0001-9980-9368 ) ; Stankovic, Vladimir
Abstract:
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 and rate embedded 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. We exploit the model within the context of our optimization to compute user-action-driven coding strategies that aim at enhancing the client's performance in terms of latency and video quality. Our optimization 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 in our experiments. Equally important, we can achieve an arbitrarily fine granularity of encoding bit rates, while providing a novel functionality of view embedded encoding, unlike the other encoding methods that we examined. Finally, we observe 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.
Citation:
Chakareski, J., Velisavljevic, V., Stankovic, V. (2013) 'User-action-driven view and Rate scalable multiview video coding', IEEE Transactions on Image Processing 22 (9):3473-3484
Publisher:
IEEE
Journal:
IEEE Transactions on Image Processing
Issue Date:
Sep-2013
URI:
http://hdl.handle.net/10547/332937
DOI:
10.1109/TIP.2013.2269801
PubMed ID:
23797253
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6542763; https://www.ncbi.nlm.nih.gov/m/pubmed/23797253/?i=4&from=/23715605/related
Language:
en_US
ISSN:
1057-7149; 1941-0042
Appears in Collections:
Centre for Wireless Research (CWR)

Full metadata record

DC FieldValue Language
dc.contributor.authorChakareski, Jacoben
dc.contributor.authorVelisavljević, Vladanen
dc.contributor.authorStankovic, Vladimiren
dc.date.accessioned2014-10-20T15:01:04Z-
dc.date.available2014-10-20T15:01:04Z-
dc.date.issued2013-09-
dc.identifier.citationChakareski, J., Velisavljevic, V., Stankovic, V. (2013) 'User-action-driven view and Rate scalable multiview video coding', IEEE Transactions on Image Processing 22 (9):3473-3484en
dc.identifier.issn1057-7149-
dc.identifier.issn1941-0042-
dc.identifier.pmid23797253-
dc.identifier.doi10.1109/TIP.2013.2269801-
dc.identifier.urihttp://hdl.handle.net/10547/332937-
dc.description.abstractWe 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 and rate embedded 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. We exploit the model within the context of our optimization to compute user-action-driven coding strategies that aim at enhancing the client's performance in terms of latency and video quality. Our optimization 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 in our experiments. Equally important, we can achieve an arbitrarily fine granularity of encoding bit rates, while providing a novel functionality of view embedded encoding, unlike the other encoding methods that we examined. Finally, we observe 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.en
dc.language.isoen_USen
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6542763en
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/m/pubmed/23797253/?i=4&from=/23715605/related-
dc.subjectMarkov processesen
dc.subjectoptimisationen
dc.subjectvideo codingen
dc.subjectMultiview imagingen
dc.subjectbit allocationen
dc.subjectdepth-image-based renderingen
dc.subjectuser-action-driven codingen
dc.subjectview and rate scalable encodingen
dc.subjectview selection Markov modelen
dc.titleUser-action-driven view and rate scalable multiview video codingen_US
dc.identifier.journalIEEE Transactions on Image Processingen

Related articles on PubMed

All Items in UOBREP are protected by copyright, with all rights reserved, unless otherwise indicated.