Name
Title | ||
|---|---|---|
A Hierarchical and Multi-Model Based Algorithm for Lead Detection and News Program Narrative Parsing |
Abstract | ||
|---|---|---|
In this paper, a hierarchical and multi-modal based news item detection algorithm, which can be viewed as a mid-stage solution between the single-modal and the semantic-based approaches, is proposed for parsing TV news program videos. We investigate the production model of TV news program first and then make use of the so-obtained domain knowledge to develop the proposed algorithm. With the add of multi-modal features, such as volume and zero crossing rate in audios and key frame and human face in videos, the proposed algorithm showed rather satisfactory results in both precision and recall measures for parsing a6-hour news program test video. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/AINA.2005.27 | AINA |
Keywords | DocType | ISBN |
lead detection,tv news program,human face,production model,mid-stage solution,a6-hour news program test,news program narrative parsing,multi-modal feature,news item detection algorithm,parsing tv news program,key frame,proposed algorithm,computer science,databases,production,grammars,domain knowledge,audio signal processing,image segmentation,information retrieval | Conference | 0-7695-2249-1 |
Citations | PageRank | References |
1 | 0.39 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jin-hau Kuo | 1 | 116 | 10.87 |
| Jen-Bin Kuo | 2 | 1 | 0.39 |
| Hsuan-Wei Chen | 3 | 34 | 2.21 |
| Ja-ling Wu | 4 | 1569 | 168.11 |