Name
Abstract | ||
|---|---|---|
Indexing and retrieval techniques for various multimedia data have become more and more important as a diverse range of multimedia-based content services are increasingly provided in wireless network. This paper presents a semantics-based video retrieval system that lets the user retrieve the meanings of large capacity multimedia data in a various way that employs annotation- and feature-based retrieval mechanisms in wireless network. As extract comparison area of optimized after learn feature comparison area, proposed system could reduce number of comparison area remarkably. Also, showed experiment result that improve more recall and precision than previous research. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-30134-9_12 | Lecture Notes in Artificial Intelligence |
Keywords | Field | DocType |
multimedia database system,mobile indexing agent,semantics-based indexing and retrieval | Wireless network,Multimedia database,Annotation,Information retrieval,Video retrieval,Computer science,Precision and recall,Search engine indexing,Semantics | Conference |
Volume | ISSN | Citations |
3215 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 8 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jong-hee Lee | 1 | 0 | 1.01 |
| Kwang-hyoung Lee | 2 | 0 | 1.01 |
| Moon-seog Jun | 3 | 0 | 0.34 |
| Keun-Wang Lee | 4 | 24 | 13.44 |