Flexible-Segmentation-Jumping Strategy to Reduce User-Perceived Latency for Video on Demand
Joint Authors
Li, Fengbin
Jiang, Xiaofeng
Li, Jun
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-04-05
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
Traditionally, people usually watch a video from the beginning and continuously to the end; this is changed by the concept and application of Video-On-Demand (VOD).
Users do not want to wait for a long time when they seek some specific content in a video; they want to instantly watch any part in a video according to their needs.
To resolve this challenge, in this paper, we propose a Flexible-Segmentation-Jumping Strategy (FSJS).
This scheme considers users' randomly access behaviors, especially concerns the initial delay before watch point selection.
By considering these behaviors and flexibly selecting jumping point, our scheme can significantly reduce user waiting time, in most cases can reduce the waiting time to zero.
Our simulation implements the proposed FSJS scheme to the uniform segmentation and exponential segmentation algorithms to show how FSJS improves a user's perceived latency and reduces the extra average serving time.
The simulation results show that FSJS can have a significant improvement in user-perceived latency.
American Psychological Association (APA)
Li, Jun& Li, Fengbin& Jiang, Xiaofeng. 2011. Flexible-Segmentation-Jumping Strategy to Reduce User-Perceived Latency for Video on Demand. Applied Computational Intelligence and Soft Computing،Vol. 2011, no. 2011, pp.1-8.
https://search.emarefa.net/detail/BIM-456259
Modern Language Association (MLA)
Li, Jun…[et al.]. Flexible-Segmentation-Jumping Strategy to Reduce User-Perceived Latency for Video on Demand. Applied Computational Intelligence and Soft Computing No. 2011 (2011), pp.1-8.
https://search.emarefa.net/detail/BIM-456259
American Medical Association (AMA)
Li, Jun& Li, Fengbin& Jiang, Xiaofeng. Flexible-Segmentation-Jumping Strategy to Reduce User-Perceived Latency for Video on Demand. Applied Computational Intelligence and Soft Computing. 2011. Vol. 2011, no. 2011, pp.1-8.
https://search.emarefa.net/detail/BIM-456259
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-456259