Understanding Your Needs: An Adaptive VoD System

Author

Mu, Mingkai ; Knowles, W. ; Race, Nicholas

Author_Institution

Lancaster Univ., Lancaster, UK

fYear

2012

fDate

10-12 Dec. 2012

Firstpage

255

Lastpage

260

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

IPTV; asset management; video on demand; IPTV infrastructure; VoD repository; adaptive VoD system; on-demand asset management; on-demand services; programme popularity function; video-on-demand system; Adaptive systems; Educational institutions; IPTV; Market research; Measurement; Media; content management; content recommendation; user behaviour modelling; video on demand;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia (ISM), 2012 IEEE International Symposium on

Conference_Location

Irvine, CA

Print_ISBN

978-1-4673-4370-1

Type

conf

DOI

10.1109/ISM.2012.55

Filename

6424668