Virtualization of video quality enhancement process for mobile device

Hansu Kim; Doug Young Suh

doi:10.1109/ICTC.2014.6983200

Virtualization of video quality enhancement process for mobile device

Hansu Kim
, Doug Young Suh

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Nowadays, wireless data traffic is increasing rapidly because of mobile video streaming. However larger than HD resolution video is too big to download onto mobile phone, because of lack in bandwidth. So we bridge the resolution gap between download under HD video, and propose a novel up-sampling through the cloud offloading by using edge information for reducing blur effect. In addition, this novel way uses edge segment by using run length, and motion estimation to reduce data traffic. Despite the appended Edge data less than 50% of Original Low Video, it improves the quality of the upsampled video significantly.

Original language	English
Title of host publication	International Conference on ICT Convergence
Publisher	IEEE Computer Society
Pages	526-527
Number of pages	2
ISBN (Electronic)	9781479967865
DOIs	https://doi.org/10.1109/ICTC.2014.6983200
Publication status	Published - 11 Dec 2014
Event	5th International Conference on Information and Communication Technology Convergence, ICTC 2014 - Busan, Korea, Republic of Duration: 22 Oct 2014 → 24 Oct 2014

Publication series

Name	International Conference on ICT Convergence
ISSN (Print)	2162-1233
ISSN (Electronic)	2162-1241

Conference

Conference	5th International Conference on Information and Communication Technology Convergence, ICTC 2014
Country/Territory	Korea, Republic of
City	Busan
Period	22/10/14 → 24/10/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

Motion Estimation
cloud offfload
up-samling
zero run length

Access to Document

10.1109/ICTC.2014.6983200

Cite this

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title = "Virtualization of video quality enhancement process for mobile device",

abstract = "Nowadays, wireless data traffic is increasing rapidly because of mobile video streaming. However larger than HD resolution video is too big to download onto mobile phone, because of lack in bandwidth. So we bridge the resolution gap between download under HD video, and propose a novel up-sampling through the cloud offloading by using edge information for reducing blur effect. In addition, this novel way uses edge segment by using run length, and motion estimation to reduce data traffic. Despite the appended Edge data less than 50\% of Original Low Video, it improves the quality of the upsampled video significantly.",

keywords = "Motion Estimation, cloud offfload, up-samling, zero run length",

author = "Hansu Kim and Suh, \{Doug Young\}",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 5th International Conference on Information and Communication Technology Convergence, ICTC 2014 ; Conference date: 22-10-2014 Through 24-10-2014",

year = "2014",

month = dec,

day = "11",

doi = "10.1109/ICTC.2014.6983200",

language = "English",

series = "International Conference on ICT Convergence",

publisher = "IEEE Computer Society",

pages = "526--527",

booktitle = "International Conference on ICT Convergence",

address = "United States",

}

Kim, H & Suh, DY 2014, Virtualization of video quality enhancement process for mobile device. in International Conference on ICT Convergence., 6983200, International Conference on ICT Convergence, IEEE Computer Society, pp. 526-527, 5th International Conference on Information and Communication Technology Convergence, ICTC 2014, Busan, Korea, Republic of, 22/10/14. https://doi.org/10.1109/ICTC.2014.6983200

TY - GEN

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AU - Kim, Hansu

AU - Suh, Doug Young

PY - 2014/12/11

Y1 - 2014/12/11

N2 - Nowadays, wireless data traffic is increasing rapidly because of mobile video streaming. However larger than HD resolution video is too big to download onto mobile phone, because of lack in bandwidth. So we bridge the resolution gap between download under HD video, and propose a novel up-sampling through the cloud offloading by using edge information for reducing blur effect. In addition, this novel way uses edge segment by using run length, and motion estimation to reduce data traffic. Despite the appended Edge data less than 50% of Original Low Video, it improves the quality of the upsampled video significantly.

AB - Nowadays, wireless data traffic is increasing rapidly because of mobile video streaming. However larger than HD resolution video is too big to download onto mobile phone, because of lack in bandwidth. So we bridge the resolution gap between download under HD video, and propose a novel up-sampling through the cloud offloading by using edge information for reducing blur effect. In addition, this novel way uses edge segment by using run length, and motion estimation to reduce data traffic. Despite the appended Edge data less than 50% of Original Low Video, it improves the quality of the upsampled video significantly.

KW - Motion Estimation

KW - cloud offfload

KW - up-samling

KW - zero run length

UR - https://www.scopus.com/pages/publications/84920150310

U2 - 10.1109/ICTC.2014.6983200

DO - 10.1109/ICTC.2014.6983200

M3 - Conference contribution

AN - SCOPUS:84920150310

T3 - International Conference on ICT Convergence

SP - 526

EP - 527

BT - International Conference on ICT Convergence

PB - IEEE Computer Society

T2 - 5th International Conference on Information and Communication Technology Convergence, ICTC 2014

Y2 - 22 October 2014 through 24 October 2014

ER -

Virtualization of video quality enhancement process for mobile device

Abstract

Publication series

Conference

Bibliographical note

Keywords

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