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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 5 of 5 1 Automatic animation of an articulatory tongue model from ultrasound images of the vocal tract Fabre, Diandra; Hueber, Thomas; Girin, Laurent... In: ISSN: 0167-6393 ; EISSN: 1872-7182 ; Speech Communication ; https://hal.archives-ouvertes.fr/hal-01578315 ; Speech Communication, Elsevier : North-Holland, 2017, 93, pp.63 - 75. ⟨10.1016/j.specom.2017.08.002⟩ (2017) BASE Show details 2 The Tangwang Language- An Interdisciplinary Case Study in Northwest China. Xu, Dan. - : HAL CCSD, 2017 In: https://halshs.archives-ouvertes.fr/halshs-01778762 ; 2017 (2017) BASE Show details 3 Result diversification in social image retrieval: a benchmarking framework Ionescu, B.; Popescu, A.; Radu, A.-L.; Müller, H. In: ISSN: 1380-7501 ; EISSN: 1573-7721 ; Multimedia Tools and Applications ; https://hal.archives-ouvertes.fr/hal-01845528 ; Multimedia Tools and Applications, Springer Verlag, 2016, 75 (2), pp.1301-1331. ⟨10.1007/s11042-014-2369-4⟩ (2016) Abstract: International audience ; This article addresses the diversification of image retrieval results in the context of image retrieval from social media. It proposes a benchmarking framework together with an annotated dataset and discusses the results achieved during the related task run in the MediaEval 2013 benchmark. 38 multimedia diversification systems, varying from graph-based representations, re-ranking, optimization approaches, data clustering to hybrid approaches that included a human in the loop, and their results are described and analyzed in this text. A comparison of the use of expert vs. crowdsourcing annotations shows that crowdsourcing results have a slightly lower inter-rater agreement but results are comparable at a much lower cost than expert annotators. Multimodal approaches have best results in terms of cluster recall. Manual approaches can lead to high precision but often lower diversity. With this detailed results analysis we give future insights into diversity in image retrieval and also for preparing new evaluation campaigns in related areas. Keyword: [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; [INFO]Computer Science [cs]; Benchmarking; Clustering algorithms; Crowdsourcing; Image content; Image retrieval; Photo retrieval; Re-ranking; Result diversification URL: https://hal.archives-ouvertes.fr/hal-01845528/file/ionescu2014.pdf https://hal.archives-ouvertes.fr/hal-01845528/document https://hal.archives-ouvertes.fr/hal-01845528 https://doi.org/10.1007/s11042-014-2369-4 BASE Hide details 4 Benchmarking result diversification in social image retrieval Ionescu, B.; Popescu, A.; Muller, H.... In: 2014 IEEE International Conference on Image Processing (ICIP) ; https://hal-cea.archives-ouvertes.fr/cea-01841686 ; 2014 IEEE International Conference on Image Processing (ICIP), Oct 2014, Paris, France. pp.3072-3076, ⟨10.1109/ICIP.2014.7025621⟩ (2014) BASE Show details 5 Retrieving diverse social images at MediaEval 2013: Objectives, dataset and evaluation Ionescu, B.; Menéndez, M.; Müller, H.... In: 2013 Multimedia Benchmark Workshop, MediaEval 2013 ; https://hal-cea.archives-ouvertes.fr/cea-01844699 ; 2013 Multimedia Benchmark Workshop, MediaEval 2013, Oct 2013, Barcelona, Spain ; http://ceur-ws.org/Vol-1043/ (2013) BASE Show details

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