Automatic topics segmentation for news video by clustering of histogram of orientation gradients faces
Joint Authors
Hamidah, Munirah
Ijbali, Rida
Zayid, Murad
Source
The International Arab Journal of Information Technology
Issue
Vol. 18, Issue 3 (31 May. 2021), pp.270-278, 9 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2021-05-31
Country of Publication
Jordan
No. of Pages
9
Main Subjects
Economics & Business Administration
Abstract EN
TV stream is a major source of multimedia data.
The proposed method aims to enable a good exploitation of this source of video by multimedia services social community, and video-sharing platforms.
In this work, we propose an approach to the automatic topics segmentation of news video.
The originality of the approach is the use of Clustering of Histogram of Orientation Gradients (HOG) faces as prior knowledge.
This knowledge is modeled as images which governs the structuring of TV stream content.
This structuring is carried out on two levels.
The first consists in the identification of anchorperson by Single-Linkage Clustering of HOG faces.
The second level aims to identify the topics of news program due to the large audience because of the pertinent information they contain.
Experiments comparing the proposed technique to similar works were carried out on the TREC Video Retrieval Evaluation (TRECVID) 2003 database.
The results show significant improvements to TV news structuring exceeding 96.
American Psychological Association (APA)
Hamidah, Munirah& Ijbali, Rida& Zayid, Murad. 2021. Automatic topics segmentation for news video by clustering of histogram of orientation gradients faces. The International Arab Journal of Information Technology،Vol. 18, no. 3, pp.270-278.
https://search.emarefa.net/detail/BIM-1432094
Modern Language Association (MLA)
Hamidah, Munirah…[et al.]. Automatic topics segmentation for news video by clustering of histogram of orientation gradients faces. The International Arab Journal of Information Technology Vol. 18, no. 3 (May. 2021), pp.270-278.
https://search.emarefa.net/detail/BIM-1432094
American Medical Association (AMA)
Hamidah, Munirah& Ijbali, Rida& Zayid, Murad. Automatic topics segmentation for news video by clustering of histogram of orientation gradients faces. The International Arab Journal of Information Technology. 2021. Vol. 18, no. 3, pp.270-278.
https://search.emarefa.net/detail/BIM-1432094
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 276-277
Record ID
BIM-1432094