Multimedia summarization in law courts: A clustering-based environment for browsing and consulting judicial folders

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6171 LNAI, Issue , 2010, Pages 237-247

  Fersini, E ^a   Messina, E ^a   Archetti, F ^a,b  

^a UNIVERSITY OF MILANO BICOCCA   (Italy)

^b Consorzio Milano Ricerche ^*  (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL VIDEOS; LOW COSTS; POSSIBLE SOLUTIONS; SYNTHETIC REPRESENTATIONS; VIDEO SOURCES;

DATA MINING; ENVIRONMENTAL REGULATIONS; MULTIMEDIA SYSTEMS;

COMPUTER GRAPHICS;

EID: 77954884850     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-14400-4_19     Document Type: Conference Paper

References (20)

1. Kim, J., Chang, H., Kang, K., Kim, M., Kim, H.: Summarization of news video and its description for content-based access. International Journal of Imaging Systems and Technology, 267-274 (2004)
2. Liang, C., Kuo, J., Chu, W.,Wu, J.: Semantic units detection and summarization of baseball videos. In: Proc. of the 47th Midwest Symposium on Circuits and Systems, pp. 297-300 (2004)
3. Tjondronegoro, D.W., Chen, Y., Pham, B.: Classification of selfconsumable highlights for soccer video summaries. In: Proc. of the IEEE International Conference on Multimedia and Expo., pp. 579-582 (2003)
4. de Silva, G., Yamasaki, T., Aizawa, K.: Evaluation of video summarization for a large number of cameras in ubiquitous home. In: Proc. of the 13th Annual ACM International Conference on Multimedia, pp. 820-828 (2005)
5. Jaimes, A., Echigo, T., Teraguchi, M., Satoh, F.: Learning personalized video highlights from detailed MPEG-7 metadata. In: Proc. of the IEEE International Conference on Image Processing, pp. 133-136 (2002)
6. Takahashi, Y., Nitta, N., Babaguchi, N.: Video Summarization for Large Sports Video Archives. In: Proc. of the IEEE International Conference on Multimedia and Expo., pp. 1170-1173 (2005)
7. Agnihotri, L., Dimitrova, N., Kender, J.R.: Design and evaluation of a music video summarization system. In: Proc. of the IEEE International Conference on Multimedia and Expo., pp. 1943-1946 (2004)
8. Yang, H., Chaisorn, L., Zhao, Y., Neo, S., Chua, T.: VideoQA: question answering on news video. In: Proc. of the 11th Annual ACM International Conference on Multimedia, pp. 632-641 (2003)
9. Moriyama, T., Sakauchi, M.: Video summarization based on the psychological unfolding of drama. Systems and Computers in Japan, 1122-1131 (2002)
10. Rui, Y., Zhou, S.X., Huang, T.S.: Efficient access to video content in a unified framework. In: Proc. of the IEEE International Conference on Multimedia Computing and Systems, pp. 735-740 (1999)
11. Tseng, B.L., Smith, C.-Y.L.J.R.: Using MPEG-7 and MPEG-21 for personalizing video. IEEE Transactions on Multimedia, 42-52 (2004)
12. Steinbach, M., Karypis, G., Kumar, V.: A comparison of Document Clustering Techniques. In: KDD Workshop on Text Mining (2000)
13. Archetti, F., Fersini, E., Campanelli, P., Messina, E.: A Hierarchical Document Clustering Environment Based on the Induced Bisecting k-Means. In: Larsen, H.L., Pasi, G., Ortiz-Arroyo, D., Andreasen, T., Christiansen, H. (eds.) FQAS 2006. LNCS (LNAI), vol.4027, pp. 257-269. Springer, Heidelberg (2006)
14. Lf, J., Gollan, C., Ney, H.: Cross-language Bootstrapping for Unsupervised Acoustic Model Training: Rapid Development of a Polish Speech Recognition System. In: Interspeech, Brighton, U.K., September 2009, pp. 88-91 (2009)
15. Falavigna, D., Giuliani, D., Gretter, R., Lf, J., Gollan, C., Schlter, R., Ney, H.: Automatic Transcription of Courtroom Recordings in the JUMAS project. In: Proc. of the 2nd International Conference on ICT Solutions for Justice, Skopje, Macedonia (September 2009)
16. Avgerinakis, K., Briassouli, A., Kompatsiaris, I.: Video processing for judicial applications. In: Proc. of the 2nd International Conference on ICT Solutions for Justice, Skopje (2009)
17. Rabiner, L.R.: A tutorial on Hidden Markov Models and selected applications in speech recognition. Proceedings of the IEEE 77(2), 257-286 (1989)
18. Fersini, E., Messina, E., Arosio, G., Archetti, F.: Audio-based Emotion Recognition in Judicial Domain: A Multilayer Support Vector Machines Approach. In: Perner, P. (ed.) Machine Learning and Data Mining in Pattern Recognition. LNCS, vol.5632, pp. 594-602. Springer, Heidelberg (2009)
19. Salton, G., Buckley, C.: Term-weighting approaches in automatic text retrieval. Information Processing & Management 24(5), 513-523 (1988)
20. Kashyap, V., Ramakrishnan, C., Thomas, C., Bassu, D., Rindflesch, T.C., Sheth, A.: TaxaMiner: An experiment framework for automated taxonomy bootstrapping. International Journal of Web and Grid Services 1(2), 240-266 (2005)