AMVP-Cloud

A framework of adaptive mobile video streaming and user behavior oriented video pre-fetching in the clouds

Bin Pan, Xiaofei Wang, Chung Pyo Hong, Shin-Dug Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Mobile users frequently suffer from long buffering time and intermittent breaks of video streaming, due to the instability of mobile wireless link caused by signal fluctuation and user's mobility. Although the scalable video coding techniques are adopted recently, it brings a huge encoding overhead to video providers, and induces a large amount of bandwidth waste. In this paper, we propose a new video streaming framework for mobile users, called AMVP-Cloud, which is composed of two core parts: the Adaptive Mobile Video Streaming (AMoS), and the User Behavior Oriented Video Pre-Fetching (UBoP). AMVP-Cloud efficiently stores and transfers videos in clouds, and constructs a private agent for each mobile user to provide "non-terminating" streaming experience, which can adapt to the fluctuation of link quality based on the scalable video coding and feedback from mobile side. Also referring to the user model for video watching, AMVP-Cloud can try to provide "non-waiting" streaming experience by background pre-fetching among the video agents and local storage of mobile side. Finally, we evaluate our prototype implementation and verify that AMVP-Cloud can offer good adaptability and short streaming delay as well as pre-fetching delay.

Original languageEnglish
Title of host publicationProceedings - 2012 IEEE 12th International Conference on Computer and Information Technology, CIT 2012
Pages398-405
Number of pages8
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 IEEE 12th International Conference on Computer and Information Technology, CIT 2012 - Chengdu, Sichuan, China
Duration: 2012 Oct 272012 Oct 29

Other

Other2012 IEEE 12th International Conference on Computer and Information Technology, CIT 2012
CountryChina
CityChengdu, Sichuan
Period12/10/2712/10/29

Fingerprint

Video streaming
Scalable video coding
Telecommunication links
Feedback
Bandwidth

All Science Journal Classification (ASJC) codes

  • Information Systems

Cite this

Pan, B., Wang, X., Hong, C. P., & Kim, S-D. (2012). AMVP-Cloud: A framework of adaptive mobile video streaming and user behavior oriented video pre-fetching in the clouds. In Proceedings - 2012 IEEE 12th International Conference on Computer and Information Technology, CIT 2012 (pp. 398-405). [6391933] https://doi.org/10.1109/CIT.2012.94
Pan, Bin ; Wang, Xiaofei ; Hong, Chung Pyo ; Kim, Shin-Dug. / AMVP-Cloud : A framework of adaptive mobile video streaming and user behavior oriented video pre-fetching in the clouds. Proceedings - 2012 IEEE 12th International Conference on Computer and Information Technology, CIT 2012. 2012. pp. 398-405
@inproceedings{2aea906a25404bc59f85b6747531dfa0,
title = "AMVP-Cloud: A framework of adaptive mobile video streaming and user behavior oriented video pre-fetching in the clouds",
abstract = "Mobile users frequently suffer from long buffering time and intermittent breaks of video streaming, due to the instability of mobile wireless link caused by signal fluctuation and user's mobility. Although the scalable video coding techniques are adopted recently, it brings a huge encoding overhead to video providers, and induces a large amount of bandwidth waste. In this paper, we propose a new video streaming framework for mobile users, called AMVP-Cloud, which is composed of two core parts: the Adaptive Mobile Video Streaming (AMoS), and the User Behavior Oriented Video Pre-Fetching (UBoP). AMVP-Cloud efficiently stores and transfers videos in clouds, and constructs a private agent for each mobile user to provide {"}non-terminating{"} streaming experience, which can adapt to the fluctuation of link quality based on the scalable video coding and feedback from mobile side. Also referring to the user model for video watching, AMVP-Cloud can try to provide {"}non-waiting{"} streaming experience by background pre-fetching among the video agents and local storage of mobile side. Finally, we evaluate our prototype implementation and verify that AMVP-Cloud can offer good adaptability and short streaming delay as well as pre-fetching delay.",
author = "Bin Pan and Xiaofei Wang and Hong, {Chung Pyo} and Shin-Dug Kim",
year = "2012",
month = "12",
day = "1",
doi = "10.1109/CIT.2012.94",
language = "English",
isbn = "9780769548586",
pages = "398--405",
booktitle = "Proceedings - 2012 IEEE 12th International Conference on Computer and Information Technology, CIT 2012",

}

Pan, B, Wang, X, Hong, CP & Kim, S-D 2012, AMVP-Cloud: A framework of adaptive mobile video streaming and user behavior oriented video pre-fetching in the clouds. in Proceedings - 2012 IEEE 12th International Conference on Computer and Information Technology, CIT 2012., 6391933, pp. 398-405, 2012 IEEE 12th International Conference on Computer and Information Technology, CIT 2012, Chengdu, Sichuan, China, 12/10/27. https://doi.org/10.1109/CIT.2012.94

AMVP-Cloud : A framework of adaptive mobile video streaming and user behavior oriented video pre-fetching in the clouds. / Pan, Bin; Wang, Xiaofei; Hong, Chung Pyo; Kim, Shin-Dug.

Proceedings - 2012 IEEE 12th International Conference on Computer and Information Technology, CIT 2012. 2012. p. 398-405 6391933.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - AMVP-Cloud

T2 - A framework of adaptive mobile video streaming and user behavior oriented video pre-fetching in the clouds

AU - Pan, Bin

AU - Wang, Xiaofei

AU - Hong, Chung Pyo

AU - Kim, Shin-Dug

PY - 2012/12/1

Y1 - 2012/12/1

N2 - Mobile users frequently suffer from long buffering time and intermittent breaks of video streaming, due to the instability of mobile wireless link caused by signal fluctuation and user's mobility. Although the scalable video coding techniques are adopted recently, it brings a huge encoding overhead to video providers, and induces a large amount of bandwidth waste. In this paper, we propose a new video streaming framework for mobile users, called AMVP-Cloud, which is composed of two core parts: the Adaptive Mobile Video Streaming (AMoS), and the User Behavior Oriented Video Pre-Fetching (UBoP). AMVP-Cloud efficiently stores and transfers videos in clouds, and constructs a private agent for each mobile user to provide "non-terminating" streaming experience, which can adapt to the fluctuation of link quality based on the scalable video coding and feedback from mobile side. Also referring to the user model for video watching, AMVP-Cloud can try to provide "non-waiting" streaming experience by background pre-fetching among the video agents and local storage of mobile side. Finally, we evaluate our prototype implementation and verify that AMVP-Cloud can offer good adaptability and short streaming delay as well as pre-fetching delay.

AB - Mobile users frequently suffer from long buffering time and intermittent breaks of video streaming, due to the instability of mobile wireless link caused by signal fluctuation and user's mobility. Although the scalable video coding techniques are adopted recently, it brings a huge encoding overhead to video providers, and induces a large amount of bandwidth waste. In this paper, we propose a new video streaming framework for mobile users, called AMVP-Cloud, which is composed of two core parts: the Adaptive Mobile Video Streaming (AMoS), and the User Behavior Oriented Video Pre-Fetching (UBoP). AMVP-Cloud efficiently stores and transfers videos in clouds, and constructs a private agent for each mobile user to provide "non-terminating" streaming experience, which can adapt to the fluctuation of link quality based on the scalable video coding and feedback from mobile side. Also referring to the user model for video watching, AMVP-Cloud can try to provide "non-waiting" streaming experience by background pre-fetching among the video agents and local storage of mobile side. Finally, we evaluate our prototype implementation and verify that AMVP-Cloud can offer good adaptability and short streaming delay as well as pre-fetching delay.

UR - http://www.scopus.com/inward/record.url?scp=84872328276&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84872328276&partnerID=8YFLogxK

U2 - 10.1109/CIT.2012.94

DO - 10.1109/CIT.2012.94

M3 - Conference contribution

SN - 9780769548586

SP - 398

EP - 405

BT - Proceedings - 2012 IEEE 12th International Conference on Computer and Information Technology, CIT 2012

ER -

Pan B, Wang X, Hong CP, Kim S-D. AMVP-Cloud: A framework of adaptive mobile video streaming and user behavior oriented video pre-fetching in the clouds. In Proceedings - 2012 IEEE 12th International Conference on Computer and Information Technology, CIT 2012. 2012. p. 398-405. 6391933 https://doi.org/10.1109/CIT.2012.94