Name
Abstract | ||
|---|---|---|
Knowledge-based video retrieval is able to provide the retrieval result that corresponds with conceptual demand of user because of performing automatic indexing with audio-visual data, closed-caption, and so on. In this paper, we present the automatic indexing method of Korean closed-caption for knowledge-based video retrieval and the retrieval scheme using the indexed database. In the experiment, we have applied the proposed method to news video with the closed-caption generated by Korean stenographic system, and have empirically confirmed that the proposed method could provide the retrieval result that corresponds with more meaningful conceptual demand of user. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11553939_99 | KES (3) |
Keywords | Field | DocType |
news video retrieval,korean closed-caption,automatic indexing method,knowledge-based video retrieval,conceptual demand,retrieval result,automatic indexing,retrieval scheme,korean stenographic system,news video,knowledge base,indexation | Closed captioning,Video retrieval,Information retrieval,Data retrieval,Computer science,Image retrieval,Image processing,Knowledge base,Automatic indexing,Visual Word | Conference |
Volume | ISSN | ISBN |
3683 | 0302-9743 | 3-540-28896-1 |
Citations | PageRank | References |
1 | 0.43 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jungwon Cho | 1 | 46 | 11.21 |
| Seungdo Jeong | 2 | 25 | 8.82 |
| Byung-Uk Choi | 3 | 50 | 14.62 |