Name
Abstract | ||
|---|---|---|
The reality is that it is gradually getting more difficult to find the information that users wish to find from the internet information resource which is getting increased by enormous quantity. Especially, it is difficult to decide before viewing in order to discriminate whether it is the information desired by the user since it is a video file during the search of multimedia files. Accordingly, the information technology to effectively search the multimedia files needed by users would have to be supported. In this paper, we propose a categorizing method for searching multimedia files effectively while applying the most typical multimedia file called podcast file on the research to perform an experiment. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICISA.2013.6579489 | Information Science and Applications |
Keywords | Field | DocType |
data analysis,feature extraction,information retrieval,multimedia systems,internet information resource,categorizing method,category extraction,information technology,multimedia file search,podcast file,video file,search engines,xml | World Wide Web,Information technology,Computer science,Feature extraction,Data file,Multimedia,The Internet | Conference |
ISSN | ISBN | Citations |
2162-9048 | 978-1-4799-0602-4 | 2 |
PageRank | References | Authors |
0.42 | 1 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chong-Jae Yoo | 1 | 2 | 0.42 |
| Ok-Ran Jeong | 2 | 181 | 22.02 |