Efficient multimedia contents management system with tag recommendations

Ji Soo Park; Kyeong Won Park; Yeonsang Yun; Mucheol Kim; Seungmin Rho; Ka Lok Man; Woon Kian Chong

Efficient multimedia contents management system with tag recommendations

Ji Soo Park, Kyeong Won Park, Yeonsang Yun, Mucheol Kim, Seungmin Rho^*, Ka Lok Man, Woon Kian Chong

^*Corresponding author for this work

Department of Computing

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

Abstract

Recently, rapid development of internet technology, the amount of data on the web is exponentially generated. Because of that, users are difficult to find desired multimedia data. For efficient search and management of multimedia data, collaborative tagging is appropriated to describe and categorize the data. Then we proposed the collaborative multimedia management systems based on tag recommendation. Our system suggests the tag candidates for describing and categorizing the multimedia contents.

Original language	English
Title of host publication	IMECS 2015 - International MultiConference of Engineers and Computer Scientists 2015
Editors	David Dagan Feng, S. I. Ao, Craig Douglas, S. I. Ao, Craig Douglas, Jeong-A Lee, S. I. Ao, Oscar Castillo
Publisher	Newswood Limited
Pages	737-738
Number of pages	2
ISBN (Electronic)	9789881925398
Publication status	Published - 2015
Event	International MultiConference of Engineers and Computer Scientists 2015, IMECS 2015 - Tsimshatsui, Kowloon, Hong Kong Duration: 18 Mar 2015 → 20 Mar 2015

Publication series

Name	Lecture Notes in Engineering and Computer Science
Volume	2
ISSN (Print)	2078-0958

Conference

Conference	International MultiConference of Engineers and Computer Scientists 2015, IMECS 2015
Country/Territory	Hong Kong
City	Tsimshatsui, Kowloon
Period	18/03/15 → 20/03/15

Keywords

Folksonomy
Multimedia contents management
Recommendation system
Web 2.0

Cite this

Park, J. S., Park, K. W., Yun, Y., Kim, M., Rho, S., Man, K. L., & Chong, W. K. (2015). Efficient multimedia contents management system with tag recommendations. In D. D. Feng, S. I. Ao, C. Douglas, S. I. Ao, C. Douglas, J.-A. Lee, S. I. Ao, & O. Castillo (Eds.), IMECS 2015 - International MultiConference of Engineers and Computer Scientists 2015 (pp. 737-738). (Lecture Notes in Engineering and Computer Science; Vol. 2). Newswood Limited.

Park, Ji Soo ; Park, Kyeong Won ; Yun, Yeonsang et al. / Efficient multimedia contents management system with tag recommendations. IMECS 2015 - International MultiConference of Engineers and Computer Scientists 2015. editor / David Dagan Feng ; S. I. Ao ; Craig Douglas ; S. I. Ao ; Craig Douglas ; Jeong-A Lee ; S. I. Ao ; Oscar Castillo. Newswood Limited, 2015. pp. 737-738 (Lecture Notes in Engineering and Computer Science).

@inproceedings{2b8b83e5b6f34536b4f71f0d0143af2d,

title = "Efficient multimedia contents management system with tag recommendations",

abstract = "Recently, rapid development of internet technology, the amount of data on the web is exponentially generated. Because of that, users are difficult to find desired multimedia data. For efficient search and management of multimedia data, collaborative tagging is appropriated to describe and categorize the data. Then we proposed the collaborative multimedia management systems based on tag recommendation. Our system suggests the tag candidates for describing and categorizing the multimedia contents.",

keywords = "Folksonomy, Multimedia contents management, Recommendation system, Web 2.0",

author = "Park, {Ji Soo} and Park, {Kyeong Won} and Yeonsang Yun and Mucheol Kim and Seungmin Rho and Man, {Ka Lok} and Chong, {Woon Kian}",

year = "2015",

language = "English",

series = "Lecture Notes in Engineering and Computer Science",

publisher = "Newswood Limited",

pages = "737--738",

editor = "Feng, {David Dagan} and Ao, {S. I.} and Craig Douglas and Ao, {S. I.} and Craig Douglas and Jeong-A Lee and Ao, {S. I.} and Oscar Castillo",

booktitle = "IMECS 2015 - International MultiConference of Engineers and Computer Scientists 2015",

note = "International MultiConference of Engineers and Computer Scientists 2015, IMECS 2015 ; Conference date: 18-03-2015 Through 20-03-2015",

}

Park, JS, Park, KW, Yun, Y, Kim, M, Rho, S, Man, KL & Chong, WK 2015, Efficient multimedia contents management system with tag recommendations. in DD Feng, SI Ao, C Douglas, SI Ao, C Douglas, J-A Lee, SI Ao & O Castillo (eds), IMECS 2015 - International MultiConference of Engineers and Computer Scientists 2015. Lecture Notes in Engineering and Computer Science, vol. 2, Newswood Limited, pp. 737-738, International MultiConference of Engineers and Computer Scientists 2015, IMECS 2015, Tsimshatsui, Kowloon, Hong Kong, 18/03/15.

Efficient multimedia contents management system with tag recommendations. / Park, Ji Soo; Park, Kyeong Won; Yun, Yeonsang et al.
IMECS 2015 - International MultiConference of Engineers and Computer Scientists 2015. ed. / David Dagan Feng; S. I. Ao; Craig Douglas; S. I. Ao; Craig Douglas; Jeong-A Lee; S. I. Ao; Oscar Castillo. Newswood Limited, 2015. p. 737-738 (Lecture Notes in Engineering and Computer Science; Vol. 2).

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

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T1 - Efficient multimedia contents management system with tag recommendations

AU - Park, Ji Soo

AU - Park, Kyeong Won

AU - Yun, Yeonsang

AU - Kim, Mucheol

AU - Rho, Seungmin

AU - Man, Ka Lok

AU - Chong, Woon Kian

PY - 2015

Y1 - 2015

N2 - Recently, rapid development of internet technology, the amount of data on the web is exponentially generated. Because of that, users are difficult to find desired multimedia data. For efficient search and management of multimedia data, collaborative tagging is appropriated to describe and categorize the data. Then we proposed the collaborative multimedia management systems based on tag recommendation. Our system suggests the tag candidates for describing and categorizing the multimedia contents.

AB - Recently, rapid development of internet technology, the amount of data on the web is exponentially generated. Because of that, users are difficult to find desired multimedia data. For efficient search and management of multimedia data, collaborative tagging is appropriated to describe and categorize the data. Then we proposed the collaborative multimedia management systems based on tag recommendation. Our system suggests the tag candidates for describing and categorizing the multimedia contents.

KW - Folksonomy

KW - Multimedia contents management

KW - Recommendation system

KW - Web 2.0

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M3 - Conference Proceeding

AN - SCOPUS:84937909372

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BT - IMECS 2015 - International MultiConference of Engineers and Computer Scientists 2015

A2 - Feng, David Dagan

A2 - Ao, S. I.

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A2 - Ao, S. I.

A2 - Douglas, Craig

A2 - Lee, Jeong-A

A2 - Ao, S. I.

A2 - Castillo, Oscar

PB - Newswood Limited

T2 - International MultiConference of Engineers and Computer Scientists 2015, IMECS 2015

Y2 - 18 March 2015 through 20 March 2015

ER -

Park JS, Park KW, Yun Y, Kim M, Rho S, Man KL et al. Efficient multimedia contents management system with tag recommendations. In Feng DD, Ao SI, Douglas C, Ao SI, Douglas C, Lee JA, Ao SI, Castillo O, editors, IMECS 2015 - International MultiConference of Engineers and Computer Scientists 2015. Newswood Limited. 2015. p. 737-738. (Lecture Notes in Engineering and Computer Science).

Efficient multimedia contents management system with tag recommendations

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Keywords

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