Name
Abstract | ||
|---|---|---|
In this paper, wepresentanapproach for speaker change detection in broadcast videousing joint audio-visual scene change statistics. Our experiments indicate that using jointaudio-visual statistics weachieve better recall without loss of precision as compared topurely audio domain approaches for speaker change detection.1 ContextIn the emerging multimedia and ubiquitous computing applications there is a general awarenessof the need to perform joint audio-visual analysis. Examples of... |
Year | Venue | Keywords |
|---|---|---|
2000 | RIAO | change detection,ubiquitous computing |
Field | DocType | Citations |
Broadcasting,Computer vision,Change detection,Computer science,Speech recognition,Speaker diarisation,Artificial intelligence,Statistics,Recall | Conference | 3 |
PageRank | References | Authors |
0.70 | 15 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giridharan Iyengar | 1 | 289 | 31.57 |
| chalapathy neti | 2 | 1043 | 87.44 |
| Sankar Basu | 3 | 168 | 32.17 |