Abstract
Digital videos represent a fundamental informative source of those events that occur during a penal proceedings, which thanks to the technologies available nowadays, can be stored, organized and retrieved in short time and with low cost. However, considering the dimension that a video source can assume during a trial recording, several requirements have been pointed out by judicial actors: fast navigation of the stream, efficient access to data inside and effective representation of relevant contents. One of the possible solutions to these requirements is represented by multimedia summarization aimed at deriving a synthetic representation of audio/video contents, characterized by a limited loss of meaningful information. In this paper a multimedia summarization environment is proposed for defining a storyboard for proceedings celebrated into courtrooms.
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References
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)
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)
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)
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)
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)
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)
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)
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)
Moriyama, T., Sakauchi, M.: Video summarization based on the psychological unfolding of drama. Systems and Computers in Japan, 1122–1131 (2002)
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)
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)
Steinbach, M., Karypis, G., Kumar, V.: A comparison of Document Clustering Techniques. In: KDD Workshop on Text Mining (2000)
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)
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)
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)
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)
Rabiner, L.R.: A tutorial on Hidden Markov Models and selected applications in speech recognition. Proceedings of the IEEE 77(2), 257–286 (1989)
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)
Salton, G., Buckley, C.: Term-weighting approaches in automatic text retrieval. Information Processing & Management 24(5), 513–523 (1988)
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)
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Fersini, E., Messina, E., Archetti, F. (2010). Multimedia Summarization in Law Courts: A Clustering-Based Environment for Browsing and Consulting Judicial Folders. In: Perner, P. (eds) Advances in Data Mining. Applications and Theoretical Aspects. ICDM 2010. Lecture Notes in Computer Science(), vol 6171. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14400-4_19
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DOI: https://doi.org/10.1007/978-3-642-14400-4_19
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