Towards auto-documentary: tracking the evolution of news stories

News videos constitute an important source of information for tracking and documenting important events. In these videos, news stories are often accompanied by short video shots that tend to be repeated during the course of the event. Automatic detection of such repetitions is essential for creating auto-documentaries, for alleviating the limitation of traditional textual topic detection methods. In this paper, we propose novel methods for detecting and tracking the evolution of news over time. The proposed method exploits both visual cues and textual information to summarize evolving news stories. Experiments are carried on the TREC-VID data set consisting of 120 hours of news videos from two different channels.

[1]  Fuminori Yamagishi.  Identical Video Segment Detection for Large-Scale Broadcast Video Archives , 2003 .

[2]  Wolfgang Effelsberg,et al.  On the detection and recognition of television commercials , 1997, Proceedings of IEEE International Conference on Multimedia Computing and Systems.

[3]  Takeo Kanade,et al.  Object Detection Using the Statistics of Parts , 2004, International Journal of Computer Vision.

[4]  David Salesin,et al.  Fast multiresolution image querying , 1995, SIGGRAPH.

[5]  Noel E. O'Connor,et al.  Audio and video processing for automatic TV advertisement detection , 2001 .

[6]  Inderjit S. Dhillon,et al.  Co-clustering documents and words using bipartite spectral graph partitioning , 2001, KDD '01.

[7]  J. David Schaffer,et al.  Evolvable visual commercial detector , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[8]  Milind R. Naphade,et al.  Discovering recurrent events in video using unsupervised methods , 2002, Proceedings. International Conference on Image Processing.

[9]  David A. Forsyth,et al.  Words and Pictures in the News , 2003, HLT-NAACL 2003.

[10]  Pinar Duygulu Sahin,et al.  Comparison and combination of two novel commercial detection methods , 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).

[11]  Michael J. Witbrock,et al.  Story segmentation and detection of commercials in broadcast news video , 1998, Proceedings IEEE International Forum on Research and Technology Advances in Digital Libraries -ADL'98-.

[12]  Richard A. Harshman,et al.  Indexing by Latent Semantic Analysis , 1990, J. Am. Soc. Inf. Sci..

[13]  Yihong Gong,et al.  Lessons Learned from Building a Terabyte Digital Video Library , 1999, Computer.