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