Anchor frame detection in news video using anchor object extraction
- Title
- Anchor frame detection in news video using anchor object extraction
- Author
- 박기태
- Keywords
- shot change detection; anchor frame extraction; anchor object extraction; graph-theoretic clustering
- Issue Date
- 2005-06
- Publisher
- IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
- Citation
- IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, v. E88A, No. 6, Page. 1525-1528
- Abstract
- In this paper, an algorithm for anchor frame detection in news video is proposed, which consists of four steps. First, the cumulative histogram method is used to detect shot boundaries in order to segment a news video into video shots. Second, skin color information is used to detect face regions in each video shot. Third, color information of upper body regions is used to extract anchor object. Then, a graph-theoretic cluster analysis algorithm is utilized to classify the news video into anchorperson shots and non-anchor shots. Experimental results have shown the effectiveness of the proposed algorithm.
- URI
- https://search.ieice.org/bin/summary.php?id=e88-a_6_1525https://repository.hanyang.ac.kr/handle/20.500.11754/110881
- ISSN
- 0916-8508; 1745-1337
- DOI
- 10.1093/ietfec/e88-a.6.1525
- Appears in Collections:
- ETC[S] > 연구정보
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML