{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,26]],"date-time":"2025-12-26T22:32:15Z","timestamp":1766788335976},"publisher-location":"Berlin, Heidelberg","reference-count":21,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642240331"},{"type":"electronic","value":"9783642240348"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-24034-8_8","type":"book-chapter","created":{"date-parts":[[2011,11,22]],"date-time":"2011-11-22T05:36:27Z","timestamp":1321940187000},"page":"97-105","source":"Crossref","is-referenced-by-count":3,"title":["Identifying Surprising Events in Video Using Bayesian Topic Models"],"prefix":"10.1007","author":[{"given":"Avishai","family":"Hendel","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daphna","family":"Weinshall","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shmuel","family":"Peleg","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"1","key":"8_CR1","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1007\/s11263-006-0009-9","volume":"74","author":"O. Boiman","year":"2007","unstructured":"Boiman, O., Irani, M.: Detecting Irregularities in Images and in Video. International Journal of Computer Vision\u00a074(1), 17\u201331 (2007)","journal-title":"International Journal of Computer Vision"},{"issue":"11","key":"8_CR2","doi-asserted-by":"publisher","first-page":"1971","DOI":"10.1109\/TPAMI.2008.29","volume":"30","author":"Y. Pritch","year":"2008","unstructured":"Pritch, Y., Rav-Acha, A., Peleg, S.: Nonchronological Video Synopsis and Indexing. IEEE Trans. Pattern Anal. Mach. Intell.\u00a030(11), 1971\u20131984 (2008)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"8_CR3","doi-asserted-by":"crossref","unstructured":"Pritch, Y., Ratovitch, S., Hendel, A., Peleg, S.: Clustered Synopsis of Surveillance Video. In: Proc. AVSS (2009)","DOI":"10.1109\/AVSS.2009.53"},{"key":"8_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"628","DOI":"10.1007\/11744047_48","volume-title":"Computer Vision \u2013 ECCV 2006","author":"J. Sun","year":"2006","unstructured":"Sun, J., Zhang, W., Tang, X., Shum, H.-Y.: Background cut. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol.\u00a03952, pp. 628\u2013641. Springer, Heidelberg (2006)"},{"key":"8_CR5","unstructured":"Sun, J., Wu, X., Yan, S., Cheong, L.F., Chua, T.S., Li, J.: Hierarchical spatio-temporal context modeling for action recognition. In: Proc. CVPR (2009)"},{"key":"8_CR6","doi-asserted-by":"crossref","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet Allocation. In: Proc. NIPS (2001)","DOI":"10.7551\/mitpress\/1120.003.0082"},{"key":"8_CR7","doi-asserted-by":"crossref","unstructured":"Fei-Fei, L., Perona, P.: A Bayesian Hierarchical Model for Learning Natural Scene Categories. In: Proc. CVPR (2005)","DOI":"10.1109\/CVPR.2005.16"},{"issue":"3","key":"8_CR8","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1007\/s11263-007-0122-4","volume":"79","author":"J.C. Niebles","year":"2008","unstructured":"Niebles, J.C., Wang, H., Fei-Fei, L.: Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words. International Journal of Computer Vision\u00a079(3), 299\u2013318 (2008)","journal-title":"International Journal of Computer Vision"},{"key":"8_CR9","doi-asserted-by":"crossref","unstructured":"Itti, L., Baldi, P.: A Principled Approach to Detecting Surprising Events in Video. In: Proc. CVPR (2005)","DOI":"10.1109\/CVPR.2005.40"},{"key":"8_CR10","doi-asserted-by":"crossref","unstructured":"Schmidhuber, J.: Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes. In: Proc. ABiALS (2008)","DOI":"10.1007\/978-3-642-02565-5_4"},{"key":"8_CR11","unstructured":"Penny, W.D.: Kullback-Liebler Divergences of Normal, Gamma, Dirichlet and Wishart Densities. Technical report, Wellcome Department of Cognitive Neurology (2001)"},{"key":"8_CR12","doi-asserted-by":"crossref","unstructured":"Blei, D.M., Griffiths, T.L., Jordan, M.I.: The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies. J. ACM\u00a057(2) (2010)","DOI":"10.1145\/1667053.1667056"},{"key":"8_CR13","doi-asserted-by":"crossref","unstructured":"Sivic, J., Russell, B.C., Efros, A.A., Zisserman, A., Freeman, W.T.: Discovering Objects and their Localization in Images. In: Proc. ICCV (2005)","DOI":"10.1109\/ICCV.2005.77"},{"issue":"2","key":"8_CR14","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","volume":"60","author":"D.G. Lowe","year":"2004","unstructured":"Lowe, D.G.: Distinctive Image Features from Scale-Invariant Keypoints. International Journal of Computer Vision\u00a060(2), 91\u2013110 (2004)","journal-title":"International Journal of Computer Vision"},{"key":"8_CR15","unstructured":"Laptev, I., Lindeberg, T.: Local Descriptors for Spatio-temporal Recognition. In: Proc. SCVMA (2004)"},{"key":"8_CR16","doi-asserted-by":"crossref","unstructured":"Hofmann, T.: Probabilistic Latent Semantic Analysis. In: Proc. UAI (1999)","DOI":"10.1145\/312624.312649"},{"issue":"2","key":"8_CR17","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1023\/A:1007665907178","volume":"37","author":"M.I. Jordan","year":"1999","unstructured":"Jordan, M.I., Ghahramani, Z., Jaakkola, T., Saul, L.K.: An Introduction to Variational Methods for Graphical Models. Machine Learning\u00a037(2), 183\u2013233 (1999)","journal-title":"Machine Learning"},{"key":"8_CR18","unstructured":"Hughes, R., Huang, H., Zegeer, C., Cynecki, M.: Evaluation of Automated Pedestrian Detection at Signalized Intersections. United States Department of Transportation, Federal Highway Administration Report (2001)"},{"key":"8_CR19","doi-asserted-by":"crossref","unstructured":"Ranganathan, A., Dellaert, F.: Bayesian surprise and landmark detection. In: Proc. ICRA (2009)","DOI":"10.1109\/ROBOT.2009.5152376"},{"key":"8_CR20","doi-asserted-by":"crossref","unstructured":"Hospedales, T., Gong, S., Xiang, T.: A Markov Clustering Topic Model for Mining Behaviour in Video. In: Proc. ICCV (2009)","DOI":"10.1109\/ICCV.2009.5459342"},{"key":"8_CR21","doi-asserted-by":"crossref","unstructured":"Wang, X., Ma, X., Grimson, E.: Unsupervised Activity Perception by Hierarchical Bayesian Models. In: Proc. CVPR (2007)","DOI":"10.1109\/CVPR.2007.383072"}],"container-title":["Studies in Computational Intelligence","Detection and Identification of Rare Audiovisual Cues"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-24034-8_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T23:07:33Z","timestamp":1713136053000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-24034-8_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642240331","9783642240348"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-24034-8_8","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2012]]}}}