Loading [a11y]/accessibility-menu.js
News story segmentation based on audio-visual features fusion | IEEE Conference Publication | IEEE Xplore

News story segmentation based on audio-visual features fusion


Abstract:

This paper presents a method for news video story segmentation, which fuses multi-feature including audio and visual. At first, this paper detects the anchorperson shot f...Show More

Abstract:

This paper presents a method for news video story segmentation, which fuses multi-feature including audio and visual. At first, this paper detects the anchorperson shot for news video and determines the beginning of news story, and then detects topic caption between anchorperson shots. In the next step, silence clips in news video are detected using short-time energy and short-time average zero-crossing rate parameters, and then voice features of anchorperson is analyzed. At last, this method fuses multi-feature such as anchorperson shot, topic caption, silence and voice feature to segment news stories. Experimental results show that the approach is valid and avoid the deficiency of detecting news story by a single feature.
Date of Conference: 25-28 July 2009
Date Added to IEEE Xplore: 01 September 2009
ISBN Information:
Conference Location: Nanning, China
References is not available for this document.

Select All
1.
Alan Hanjalic, Reginald L. Lagendijk and Biemond. Recent Advances In Video Content Analysis: From Visual Features to Semantic Video Segments. International Journal of Image and Graphics1. 2001, pp:63-81.
2.
Nicu Sebe, Michael S. Lew, Xiang Zhou, et al. The State of the Art in Image and Video Retrieval.. Conference on Image and Video Retrieval. Springer-Verlag Heidelverg. 2003.
3.
Li H P, Doermann, D. Automatic text detection and tracking in digital video [J]. IEEE Transactions on Image Processing, 2000, 9(1).pp:147-156.
4.
Yao Wang, Zhu Liu and Jin-Cheng Huang. Multimedia Content Analysis. IEEE Signal Processing Magazine. 2001,pp:12036.
5.
Y. Chen and E.K. Wong. A knowledge-based Approach to Video Content Classification. Proceeding of SPIE. 2001,4315, pp: 292-300.
6.
A.Aydin Alatan, Alin N. Akansu, and Wayne Wolf. Multi-modal Dialog Scene Detection using Hidden Markov Models for Content-based Multimedia Indexing. Multimedia Tools and applications. 2001,14.pp: 137-151.
7.
L.Chaisorn, T.-S Chua, C.-K Koh, Y.-L Zhao, H. Xu, H. Feng Q Tian. A two-level multi-modal approach for story segmentation of large new video corpus. Proceedings of TRECVID workshop 2003.
8.
Zhang Chunlin, Zhang Penglin, Hu Ruimin. News Story Detection Based on Anchorperson Identification in News Video. Computer Engineering. 2003,29.pp:20-21,26.
9.
W.Hsu, S.-F. Chang, C.-W. Huang, L. Kennedy, C.-Y.Lin, and G.lyengar. Discovery and Fusion of Salient Multi-modal Features towards new story segmentation. IS /SPIE Electronic Imaging. San Jose, CA,2004.
10.
W.Hsu and S.F. Chang. Generative, Discriminative, and Ensemble Learning on Multi-Model Perceptual Fusion Toward News Video Story Segmentation. International Conference on Multimedia and Expo. 2004.
11.
L. Chaisorn, T-S. Chua and C-H. Lee. The Segmentation of News Video into Story Units. International Conference on Multimedia and Expo. 2002.
Contact IEEE to Subscribe

References

References is not available for this document.