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

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review


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 languageEnglish
Title of host publicationIMECS 2015 - International MultiConference of Engineers and Computer Scientists 2015
EditorsDavid Dagan Feng, S. I. Ao, Craig Douglas, S. I. Ao, Craig Douglas, Jeong-A Lee, S. I. Ao, Oscar Castillo
PublisherNewswood Limited
Number of pages2
ISBN (Electronic)9789881925398
Publication statusPublished - 2015
EventInternational MultiConference of Engineers and Computer Scientists 2015, IMECS 2015 - Tsimshatsui, Kowloon, Hong Kong
Duration: 18 Mar 201520 Mar 2015

Publication series

NameLecture Notes in Engineering and Computer Science
ISSN (Print)2078-0958


ConferenceInternational MultiConference of Engineers and Computer Scientists 2015, IMECS 2015
Country/TerritoryHong Kong
CityTsimshatsui, Kowloon


  • Folksonomy
  • Multimedia contents management
  • Recommendation system
  • Web 2.0

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