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Understanding Your Needs: An Adaptive VoD System

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Understanding Your Needs: An Adaptive VoD System. / Mu, Mu; Knowles, William; Race, Nicholas.
Multimedia (ISM), 2012 IEEE International Symposium on. IEEE, 2012. p. 255-260.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Mu, M, Knowles, W & Race, N 2012, Understanding Your Needs: An Adaptive VoD System. in Multimedia (ISM), 2012 IEEE International Symposium on. IEEE, pp. 255-260, IEEE International Symposium on Multimedia (ISM2012), Irvine, United States, 20/12/12. https://doi.org/10.1109/ISM.2012.55

APA

Mu, M., Knowles, W., & Race, N. (2012). Understanding Your Needs: An Adaptive VoD System. In Multimedia (ISM), 2012 IEEE International Symposium on (pp. 255-260). IEEE. https://doi.org/10.1109/ISM.2012.55

Vancouver

Mu M, Knowles W, Race N. Understanding Your Needs: An Adaptive VoD System. In Multimedia (ISM), 2012 IEEE International Symposium on. IEEE. 2012. p. 255-260 doi: 10.1109/ISM.2012.55

Author

Mu, Mu ; Knowles, William ; Race, Nicholas. / Understanding Your Needs: An Adaptive VoD System. Multimedia (ISM), 2012 IEEE International Symposium on. IEEE, 2012. pp. 255-260

Bibtex

@inproceedings{1c29983a50f24e41931c9b4f1620c3b6,
title = "Understanding Your Needs: An Adaptive VoD System",
abstract = "Video-on-demand (VoD) is becoming a popular service for commercial content distribution by offering end users the freedom to access recorded programmes. The management of on-demand assets is essential to maximise the efficiency of storage and network utilisation as well as advertisement. This paper introduces our recent efforts in design and implementation of an adaptive VoD archive system in an IPTV infrastructure. The system exploits live statistics on the user behaviours as well as the dynamic popularity of VoD programmes. Using the modelled programme popularity function, the VoD archive is capable of managing the VoD repository by adapting to the most recent user requests. The design has greatly improved the activity of VoD repository and user experience in on-demand services.",
keywords = "content management, content recommendation , user behaviour modelling , video on demand",
author = "Mu Mu and William Knowles and Nicholas Race",
year = "2012",
month = dec,
doi = "10.1109/ISM.2012.55",
language = "English",
isbn = "978-1-4673-4370-1",
pages = "255--260",
booktitle = "Multimedia (ISM), 2012 IEEE International Symposium on",
publisher = "IEEE",
note = "IEEE International Symposium on Multimedia (ISM2012) ; Conference date: 20-12-2012",

}

RIS

TY - GEN

T1 - Understanding Your Needs: An Adaptive VoD System

AU - Mu, Mu

AU - Knowles, William

AU - Race, Nicholas

PY - 2012/12

Y1 - 2012/12

N2 - Video-on-demand (VoD) is becoming a popular service for commercial content distribution by offering end users the freedom to access recorded programmes. The management of on-demand assets is essential to maximise the efficiency of storage and network utilisation as well as advertisement. This paper introduces our recent efforts in design and implementation of an adaptive VoD archive system in an IPTV infrastructure. The system exploits live statistics on the user behaviours as well as the dynamic popularity of VoD programmes. Using the modelled programme popularity function, the VoD archive is capable of managing the VoD repository by adapting to the most recent user requests. The design has greatly improved the activity of VoD repository and user experience in on-demand services.

AB - Video-on-demand (VoD) is becoming a popular service for commercial content distribution by offering end users the freedom to access recorded programmes. The management of on-demand assets is essential to maximise the efficiency of storage and network utilisation as well as advertisement. This paper introduces our recent efforts in design and implementation of an adaptive VoD archive system in an IPTV infrastructure. The system exploits live statistics on the user behaviours as well as the dynamic popularity of VoD programmes. Using the modelled programme popularity function, the VoD archive is capable of managing the VoD repository by adapting to the most recent user requests. The design has greatly improved the activity of VoD repository and user experience in on-demand services.

KW - content management

KW - content recommendation

KW - user behaviour modelling

KW - video on demand

U2 - 10.1109/ISM.2012.55

DO - 10.1109/ISM.2012.55

M3 - Conference contribution/Paper

SN - 978-1-4673-4370-1

SP - 255

EP - 260

BT - Multimedia (ISM), 2012 IEEE International Symposium on

PB - IEEE

T2 - IEEE International Symposium on Multimedia (ISM2012)

Y2 - 20 December 2012

ER -