Earticle

초록

영어

An efficient multimedia data management process is very important in multimedia system application. Huge size of multimedia data that distributed in multi locations makes multimedia data management more complicated. Rapid development of multimedia applications created a vast volume of multimedia data and it is exponentially incremented from time to time. This situation requires for efficient data classification and organization technique for providing effective multimedia data manipulation process. Using rough sets theory and web services technology, this paper proposed a new rules generation for multimedia data classifying in collaborative environment. ROSETTA tool is applied to verify the reliability of the generated results. The experiments show that the rough sets theory based for multimedia data classifying is suitable to be executed in web services environment.

목차

Abstract
 1. Introduction
 2. Related Works
 3. Applying Rough Sets Theory in Multimedia Data Classification
  3.1 The Model Process Flow
  3.2 The Experimental Results
 4. Implementation the Model under Web Services Platform
 5. Conclusions
 References

키워드

저자

• M. Nordin A. Rahman [ Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Gong Badak Campus ]
• Yuzarimi M. Lazim [ Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Gong Badak Campus ]
• Farham Mohamed [ Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Gong Badak Campus ]
• Syarilla Iryani A. Saany [ Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Gong Badak Campus ]
• M. Kamir M. Yusof [ Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Gong Badak Campus ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605