{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,10]],"date-time":"2025-11-10T13:35:20Z","timestamp":1762781720650,"version":"3.37.3"},"reference-count":42,"publisher":"Springer Science and Business Media LLC","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Inf Retrieval"],"published-print":{"date-parts":[[2013,10]]},"DOI":"10.1007\/s10791-012-9207-y","type":"journal-article","created":{"date-parts":[[2012,7,20]],"date-time":"2012-07-20T10:25:29Z","timestamp":1342779929000},"page":"557-583","source":"Crossref","is-referenced-by-count":3,"title":["The uncertain representation ranking framework for concept-based video retrieval"],"prefix":"10.1007","volume":"16","author":[{"given":"Robin","family":"Aly","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aiden","family":"Doherty","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Djoerd","family":"Hiemstra","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Franciska","family":"de Jong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alan F.","family":"Smeaton","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2012,7,21]]},"reference":[{"issue":"2","key":"9207_CR1","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1109\/18.825794","volume":"46","author":"S. M. Aji","year":"2000","unstructured":"Aji, S. M., & McEliece, R. J. (2000). The generalized distributive law. IEEE Transactions on Information Theory, 46(2), 325\u2013343. doi: 10.1109\/18.825794 .","journal-title":"IEEE Transactions on Information Theory"},{"key":"9207_CR2","doi-asserted-by":"crossref","unstructured":"Aly, R. (2010). Modeling representation uncertainty in concept-based multimedia retrieval, PhD thesis. University of Twente, Enschede. http:\/\/dx.doi.org\/10.3990\/1.9789036530538 .","DOI":"10.3990\/1.9789036530538"},{"key":"9207_CR3","doi-asserted-by":"crossref","unstructured":"Aly, R., Hiemstra, D., de Vries, A. P., & de Jong, F. (2008). A probabilistic ranking framework using unobservable binary events for video search. In CIVR \u201908: Proceedings of the international conference on content-based image and video retrieval 2008 (pp. 349\u2013358). New York: ACM. doi: 10.1145\/1386352.1386398 .","DOI":"10.1145\/1386352.1386398"},{"key":"9207_CR4","unstructured":"Aly, R., Hiemstra, D., & de Vries, A. P. (2009). Reusing annotation labor for concept selection. In CIVR \u201909: Proceedings of the international conference on content-based image and video retrieval. New York: ACM."},{"key":"9207_CR5","unstructured":"Aly, R., Doherty, A., Hiemstra, D., & Smeaton, A. (2010). Beyond shot retrieval: Searching for broadcast news items using language models of concepts. In ECIR \u201910: Proceedings of the 32th European conference on IR research on advances in information retrieval (pp. 241\u2013252). Berlin, Heidelberg: Springer. Lecture Notes in Computer Science, Vol. 5993."},{"issue":"1","key":"9207_CR6","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1007\/s11042-011-0818-x","volume":"60","author":"R. Aly","year":"2012","unstructured":"Aly, R., Hiemstra, D., de Jong, F., & Apers, P. (2012). Simulating the future of concept-based video retrieval under improved detector performance. Multimedia Tools and Applications, 60(1), 203\u2013231. doi: 10.1007\/s11042-011-0818-x .","journal-title":"Multimedia Tools and Applications"},{"key":"9207_CR7","unstructured":"Benjelloun, O., Sarma, A. D., Halevy, A., & Widom, J. (2006). Uldbs: Databases with uncertainty and lineage. In Proceedings of the 32nd international conference on very large data bases, VLDB Endowment, VLDB \u201906 (pp. 953\u2013964)."},{"key":"9207_CR8","doi-asserted-by":"crossref","unstructured":"Chia, T. K., Sim, K. C., Li, H., & Ng, H. T. (2008). A lattice-based approach to query-by-example spoken document retrieval. In SIGIR \u201908: Proceedings of the 31st annual international ACM SIGIR conference on research and development in information retrieval (pp. 363\u2013370). New York, NY, USA: ACM. doi: 10.1145\/1390334.1390397 .","DOI":"10.1145\/1390334.1390397"},{"issue":"1","key":"9207_CR9","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1145\/195705.195735","volume":"13","author":"W. S. Cooper","year":"1995","unstructured":"Cooper, W. S. (1995). Some inconsistencies and misidentified modeling assumptions in probabilistic information retrieval. ACM Transactions on Information Systems, 13(1), 100\u2013111. doi: 10.1145\/195705.195735 .","journal-title":"ACM Transactions on Information Systems"},{"issue":"6","key":"9207_CR10","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1002\/asi.4630320609","volume":"32","author":"W. B. Croft","year":"1981","unstructured":"Croft, W. B. (1981). Document representations in probabilistic models of information retrieval. Journal of the American Society of Information Science, 32(6), 451\u2013457.","journal-title":"Journal of the American Society of Information Science"},{"key":"9207_CR11","doi-asserted-by":"crossref","unstructured":"Ding, Z., & Peng, Y. (2004). A probabilistic extension to ontology language owl. In System Sciences, 2004. Proceedings of the 37th Annual Hawaii international conference on, p. 10. doi: 10.1109\/HICSS.2004.1265290 .","DOI":"10.1109\/HICSS.2004.1265290"},{"issue":"1","key":"9207_CR12","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/0306-4573(89)90091-5","volume":"25","author":"N. Fuhr","year":"1989","unstructured":"Fuhr, N. (1989). Models for retrieval with probabilistic indexing. Information Processing and Management, 25(1), 55\u201372.","journal-title":"Information Processing and Management"},{"key":"9207_CR13","doi-asserted-by":"crossref","unstructured":"Hauptmann, A. G., Yan, R., Lin, W. H., Christel, M., & Wactlar, H. (2007). Can high-level concepts fill the semantic gap in video retrieval? A case study with broadcast news. In IEEE Transactions on Multimedia, Vol. 9\u20135, pp. 958\u2013966. doi: 10.1109\/TMM.2007.900150 .","DOI":"10.1109\/TMM.2007.900150"},{"key":"9207_CR14","unstructured":"Hiemstra, D. (2001). Using language models for information retrieval, PhD thesis. University of Twente, Enschede. http:\/\/purl.org\/utwente\/36473 ."},{"key":"9207_CR15","unstructured":"Hiemstra, D., Rode, H., van Os, T. R., & Flokstra, J. (2006). Pftijah: Text search in an xml database system. In Proceedings of the 2nd international workshop on open source information retrieval (OSIR) (pp. 12\u201317). Seattle, WA, USA: Ecole Nationale Sup\u00e9rieure des Mines de Saint-Etienne."},{"key":"9207_CR16","doi-asserted-by":"crossref","unstructured":"Hsu, W. H., Kennedy, L. S., & Chang, S.-F. (2006). Video search reranking via information bottleneck principle. In MULTIMEDIA \u201906: Proceedings of the 14th annual ACM international conference on multimedia (pp. 35\u201344). New York, NY, USA: ACM. doi: 10.1145\/1180639.1180654 .","DOI":"10.1145\/1180639.1180654"},{"key":"9207_CR17","doi-asserted-by":"crossref","unstructured":"Huurnink, B., Hofmann, K., & de Rijke, M. (2008). Assessing concept selection for video retrieval. In Proceedings of the first MIR conference\u201908.","DOI":"10.1145\/1460096.1460170"},{"issue":"1","key":"9207_CR18","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1109\/TMM.2009.2036235","volume":"12","author":"Y. G. Jiang","year":"2010","unstructured":"Jiang, Y. G., Yang, J., Ngo, C. W., & Hauptmann, A. (2010). Representations of keypoint-based semantic concept detection: A comprehensive study. IEEE Transactions on Multimedia, 12(1), 42\u201353. doi: 10.1109\/TMM.2009.2036235 .","journal-title":"IEEE Transactions on Multimedia"},{"issue":"4","key":"9207_CR19","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1109\/JPROC.2008.916345","volume":"96","author":"L. Kennedy","year":"2008","unstructured":"Kennedy, L., Chang, S.-F., & Natsev, A. (2008). Query-adaptive fusion for multimodal search. Proceedings of the IEEE, 96(4), 567\u2013588. doi: 10.1109\/JPROC.2008.916345 .","journal-title":"Proceedings of the IEEE"},{"key":"9207_CR20","doi-asserted-by":"crossref","unstructured":"Li, X., Wang, D., Li, J., & Zhang, B. (2007). Video search in concept subspace: A text-like paradigm. In CIVR \u201907: Proceedings of the 6th ACM international conference on image and video retrieval (pp. 603\u2013610). New York, NY, USA: ACM. doi: 10.1145\/1282280.1282366 .","DOI":"10.1145\/1282280.1282366"},{"key":"9207_CR21","volume-title":"Monte Carlo strategies in scientific computing","author":"J. S. Liu","year":"2002","unstructured":"Liu, J. S. (2002). Monte Carlo strategies in scientific computing. New York: Springer."},{"key":"9207_CR22","unstructured":"Markowitz, H. (1952). Portfolio selection. The Journal of Finance, 7(1), 77\u201391. http:\/\/www.jstor.org\/stable\/2975974 ."},{"key":"9207_CR23","unstructured":"McDonald, K., & Smeaton, A. F. (2005). A comparison of score, rank and probability-based fusion methods for video shot retrieval. In Image and video retrieval. (Vol. 3568\/2005, pp. 61\u201370). Berlin\/Heidelberg: Springer. doi: 10.1007\/1152634610 ."},{"issue":"3","key":"9207_CR24","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1109\/MMUL.2006.63","volume":"13","author":"M. Naphade","year":"2006","unstructured":"Naphade, M., Smith, J., Tesic, J., Chang, S.-F., Hsu, W., Kennedy, L., Hauptmann, A. G., & Curtis, J. (2006). Large-scale concept ontology for multimedia. IEEE MultiMedia, 13(3), 86\u201391. doi: 10.1109\/MMUL.2006.63 .","journal-title":"IEEE MultiMedia"},{"key":"9207_CR25","volume-title":"Probability, random variables, and stochastic processes","author":"A. Papoulis","year":"1984","unstructured":"Papoulis, A. (1984). Probability, random variables, and stochastic processes. Singapore: Mc-Graw Hill."},{"key":"9207_CR26","unstructured":"Platt, J. (2000). Advances in large margin classifiers. Cambridge, MA: MIT Press, chap probabilistic outputs for support vector machines and comparison to regularized likelihood methods (pp. 61\u201374)."},{"key":"9207_CR27","unstructured":"Robertson, S. E., van Rijsbergen, C. J., & Porter, M. F. (1981). Probabilistic models of indexing and searching. In SIGIR \u201980: Proceedings of the 3rd annual ACM conference on research and development in information retrieval (pp. 35\u201356). Kent, UK: Butterworth & Co."},{"key":"9207_CR28","doi-asserted-by":"crossref","unstructured":"Smeaton, A. F., Over, P., & Kraaij, W. (2006). Evaluation campaigns and trecvid. In MIR \u201906: Proceedings of the 8th ACM international workshop on multimedia information retrieval (pp. 321\u2013330). New York, NY, USA: ACM Press. doi: 10.1145\/1178677.1178722 .","DOI":"10.1145\/1178677.1178722"},{"issue":"2","key":"9207_CR29","first-page":"215","volume":"4","author":"C. G. M. Snoek","year":"2009","unstructured":"Snoek, C. G. M., & Worring, M. (2009). Concept-based video retrieval. Foundations and Trends in Information Retrieval, 4(2), 215\u2013322.","journal-title":"Foundations and Trends in Information Retrieval"},{"key":"9207_CR30","doi-asserted-by":"crossref","unstructured":"Snoek, C. G. M., Worring, M., van Gemert, J. C., Geusebroek, J. M., & Smeulders, A. W. M. (2006). The challenge problem for automated detection of 101 semantic concepts in multimedia. In MULTIMEDIA \u201906: Proceedings of the 14th annual ACM international conference on multimedia (pp. 421\u2013430). New York, NY, USA: ACM Press. doi: 10.1145\/1180639.1180727 .","DOI":"10.1145\/1180639.1180727"},{"issue":"5","key":"9207_CR31","doi-asserted-by":"crossref","first-page":"975","DOI":"10.1109\/TMM.2007.900156","volume":"9","author":"C. G. M. Snoek","year":"2007","unstructured":"Snoek, C. G. M., Huurnink, B., Hollink, L., de Rijke, M., Schreiber, G., & Worring, M. (2007). Adding semantics to detectors for video retrieval. IEEE Transactions on Multimedia, 9(5), 975\u2013986.","journal-title":"IEEE Transactions on Multimedia"},{"key":"9207_CR32","unstructured":"Snoek, C. G. M., van de Sande, K., de Rooij, O., Huurnink, B., van Gemert, J., Uijlings, J., He, J., Li, X., Everts, I., Nedovic, V., van Liempt, M., van Balen, R., de Rijke, M., Geusebroek, J., Gevers, T., Worring, M., Smeulders, A., Koelma, D., Yan, F., Tahir, M., Mikolajczyk, K., & Kittler, J. (2008). The MediaMill TRECVid 2008 semantic video search engine. In Proceedings of the 8th TRECVid workshop, Gaithersburg, USA."},{"key":"9207_CR33","unstructured":"Toharia, P., Robles, O. D., Smeaton, A. F., & Rodr\u00edguez, A. (2009). Measuring the influence of concept detection on video retrieval. In CAIP 2009\u201413th international conference on computer analysis of images and patterns. Berlin: Springer."},{"key":"9207_CR34","unstructured":"Voorhees, E. M., & Harman, D. (2000). Overview of the ninth text retrieval conference (trec-9). In Proceedings of the ninth text REtrieval conference (TREC-9), pp. 1\u201314."},{"key":"9207_CR35","unstructured":"de Vries, A. P., Kazai, G., & Lalmas, M. (2004). Tolerance to irrelevance: A user-effort oriented evaluation of retrieval systems without predefined retrieval unit. In RIAO 2004 conference proceedings (pp. 463\u2013473). France: Avignon."},{"key":"9207_CR36","unstructured":"Wang, J. (2009). Mean-variance analysis: A new document ranking theory in information retrieval. In ECIR \u201909: Proceedings of the 31th European conference on IR research on advances in information retrieval (pp. 4\u201316). Berlin, Heidelberg: Springer. doi: 10.1007\/978-3-642-00958-7-4 ."},{"key":"9207_CR37","doi-asserted-by":"crossref","unstructured":"Wang, J., & Zhu, J. (2009). Portfolio theory of information retrieval. In SIGIR \u201909: Proceedings of the 32nd international ACM SIGIR conference on research and development in information retrieval (pp. 115\u2013122). New York, NY, USA: ACM. doi: 10.1145\/1571941.1571963 .","DOI":"10.1145\/1571941.1571963"},{"key":"9207_CR38","unstructured":"Yan, R. (2006). Probabilistic models for combining diverse knowledge sources in multimedia retrieval, PhD thesis. Carnegie Mellon University. http:\/\/yanrong.info\/publications.htm ."},{"key":"9207_CR39","doi-asserted-by":"crossref","unstructured":"Yang, J., & Hauptmann, A. G. (2006). Exploring temporal consistency for video analysis and retrieval. In MIR \u201906: Proceedings of the 8th ACM international workshop on multimedia information retrieval (pp. 33\u201342). New York, NY, USA: ACM. doi: 10.1145\/1178677.1178685 .","DOI":"10.1145\/1178677.1178685"},{"key":"9207_CR40","doi-asserted-by":"crossref","unstructured":"Yang, J., & Hauptmann, A. G. (2008). (un)reliability of video concept detection. In CIVR \u201908: Proceedings of the 2008 international conference on content-based image and video retrieval (pp. 85\u201394). New York, NY, USA: ACM. doi: 10.1145\/1386352.1386367 .","DOI":"10.1145\/1386352.1386367"},{"issue":"2","key":"9207_CR41","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1145\/984321.984322","volume":"22","author":"C. Zhai","year":"2004","unstructured":"Zhai, C., & Lafferty, J. (2004). A study of smoothing methods for language models applied to information retrieval. ACM Transactions on Information Systems, 22(2), 179\u2013214. doi: 10.1145\/984321.984322 .","journal-title":"ACM Transactions on Information Systems"},{"key":"9207_CR42","doi-asserted-by":"crossref","unstructured":"Zheng, W., Li, J., Si, Z., Lin, F., & Zhang, B. (2006). Using high-level semantic features in video retrieval. In Image and video retrieval (Vol. 4071\/2006, pp. 370\u2013379). Berlin\/Heidelberg: Springer. doi: 10.1007\/11788034_38 .","DOI":"10.1007\/11788034_38"}],"container-title":["Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10791-012-9207-y","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T06:08:29Z","timestamp":1561961309000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10791-012-9207-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,7,21]]},"references-count":42,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2013,10]]}},"alternative-id":["9207"],"URL":"https:\/\/doi.org\/10.1007\/s10791-012-9207-y","relation":{},"ISSN":["1386-4564","1573-7659"],"issn-type":[{"type":"print","value":"1386-4564"},{"type":"electronic","value":"1573-7659"}],"subject":[],"published":{"date-parts":[[2012,7,21]]}}}