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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 Page: 1 2 3 4 5 Hits 1 – 20 of 84 1 ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities Lerner, Paul; Ferret, Olivier; Guinaudeau, Camille... In: ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’22) ; https://hal-universite-paris-saclay.archives-ouvertes.fr/hal-03650618 ; 2022 (2022) BASE Show details 2 Unsupervised quantification of entity consistency between photos and text in real-world news ... Müller-Budack, Eric. - : Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022 BASE Show details 3 Supporting an effective review of telecollaboration for second language learning by visualising the participation and engagement at Dublin City University Lee, Hyowon; Scriney, Michael; Dey-Plissonneau, Aparajita... In: Lee, Hyowon orcid:0000-0003-4395-7702 , Scriney, Michael orcid:0000-0001-6813-2630 , Dey-Plissonneau, Aparajita and Smeaton, Alan orcid:0000-0003-1028-8389 (2021) Supporting an effective review of telecollaboration for second language learning by visualising the participation and engagement at Dublin City University. In: Virtual Exchange in Higher Education: Charting the Irish Experience, 17 Sept 2021, Online vs MS Teams. (2021) BASE Show details 4 Sign and Search: Sign Search Functionality for Sign Language Lexica ... Fragkiadakis, Manolis; van der Putten, Peter. - : arXiv, 2021 BASE Show details 5 Unsupervised Cross-Modal Audio Representation Learning from Unstructured Multilingual Text ... Schindler, Alexander; Gordea, Sergiu; Knees, Peter. - : arXiv, 2020 BASE Show details 6 Recommending Themes for Ad Creative Design via Visual-Linguistic Representations ... Zhou, Yichao; Mishra, Shaunak; Verma, Manisha. - : arXiv, 2020 BASE Show details 7 Fuzzy Logic Based Integration of Web Contextual Linguistic Structures for Enriching Conceptual Visual Representations ... Belkhatir, M.. - : arXiv, 2020 BASE Show details 8 MusicTM-Dataset for Joint Representation Learning among Sheet Music, Lyrics, and Musical Audio ... Zeng, Donghuo; Yu, Yi; Oyama, Keizo. - : arXiv, 2020 BASE Show details 9 Utilization of multimodal interaction signals for automatic summarisation of academic presentations Curtis, Keith. - : Dublin City University. School of Computing, 2018 In: Curtis, Keith (2018) Utilization of multimodal interaction signals for automatic summarisation of academic presentations. PhD thesis, Dublin City University. (2018) BASE Show details 10 Multimodal Machine Translation with Reinforcement Learning ... Qian, Xin; Zhong, Ziyi; Zhou, Jieli. - : arXiv, 2018 BASE Show details 11 ImproteK: introducing scenarios into human-computer music improvisation Nika, Jérôme; Chemillier, Marc; Assayag, Gérard In: ACM Computers in Entertainment ; https://hal.archives-ouvertes.fr/hal-01380163 ; ACM Computers in Entertainment, 2017, ⟨10.1145/3022635⟩ (2017) BASE Show details 12 Multimodal Person Discovery in Broadcast TV: lessons learned from MediaEval 2015 Poignant, Johann; Bredin, Hervé; Barras, Claude In: ISSN: 1380-7501 ; EISSN: 1573-7721 ; Multimedia Tools and Applications ; https://hal.archives-ouvertes.fr/hal-01690581 ; Multimedia Tools and Applications, Springer Verlag, 2017, 76 (21), pp.22547 - 22567. ⟨10.1007/s11042-017-4730-x⟩ (2017) BASE Show details 13 Enabling Embodied Analogies in Intelligent Music Systems ... Paolizzo, Fabio. - : arXiv, 2017 BASE Show details 14 Narrative Smoothing: Dynamic Conversational Network for the Analysis of TV Series Plots Bost, Xavier; Labatut, Vincent; Gueye, Serigne... In: DyNo: 2nd International Workshop on Dynamics in Networks, in conjunction with the 2016 IEEE/ACM International Conference ASONAM ; https://hal.archives-ouvertes.fr/hal-01276708 ; DyNo: 2nd International Workshop on Dynamics in Networks, in conjunction with the 2016 IEEE/ACM International Conference ASONAM, Aug 2016, San Francisco, United States. pp.1111-1118, ⟨10.1109/ASONAM.2016.7752379⟩ (2016) BASE Show details 15 Multilingual Visual Sentiment Concept Matching ... Pappas, Nikolaos; Redi, Miriam; Topkara, Mercan. - : arXiv, 2016 BASE Show details 16 Hierarchical topic structuring: from dense segmentation to topically focused fragments via burst analysis Simon, Anca; Sébillot, Pascale; Gravier, Guillaume In: Recent Advances on Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-01186443 ; Recent Advances on Natural Language Processing, 2015, Hissar, Bulgaria (2015) BASE Show details 17 Temporal re-scoring vs. temporal descriptors for semantic indexing of videos Hamadi, Abdelkader; Mulhem, Philippe; Quénot, Georges In: 13th International Workshop on Content-Based Multimedia Indexing (CBMI) ; https://hal.archives-ouvertes.fr/hal-01230719 ; 13th International Workshop on Content-Based Multimedia Indexing (CBMI), Jun 2015, Prague, Czech Republic. pp.1-4, ⟨10.1109/CBMI.2015.7153626⟩ (2015) Abstract: International audience ; The automated indexing of image and video is a difficult problem because of the "distance" between the arrays of numbers encoding these documents and the concepts (e.g. people, places, events or objects) with which we wish to annotate them. Methods exist for this but their results are far from satisfactory in terms of generality and accuracy. Existing methods typically use a single set of such examples and consider it as uniform. This is not optimal because the same concept may appear in various contexts and its appearance may be very different depending upon these contexts. The context has been widely used in the state of the art to treat various problems. However, the temporal context seems to be the most crucial and the most effective for the case of videos. In this paper, we present a comparative study between two methods exploiting the temporal context for semantic video indexing. The proposed approaches use temporal information that is derived from two different sources: low-level content and semantic information. Our experiments on TRECVID'12 collection showed interesting results that confirm the usefulness of the temporal context and demonstrate which of the two approaches is more effective. Keyword: [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]; Context; image automated indexing; indexing; low-level content; Multimedia communication; semantic information; semantic video indexing; Semantics; Streaming media; temporal context; temporal descriptors; temporal information; temporal rescoring; TRECVID'12 collection; video automated indexing; video signal processing; Videos URL: https://doi.org/10.1109/CBMI.2015.7153626 https://hal.archives-ouvertes.fr/hal-01230719 https://hal.archives-ouvertes.fr/hal-01230719/document https://hal.archives-ouvertes.fr/hal-01230719/file/CBMI2015_Hamadi.pdf BASE Hide details 18 Visual Affect Around the World: A Large-scale Multilingual Visual Sentiment Ontology ... Jou, Brendan; Chen, Tao; Pappas, Nikolaos. - : arXiv, 2015 BASE Show details 19 Novel perspectives and approaches to video summarization Guan, Genliang. - : The University of Sydney, 2015. : Faculty of Engineering and Information Technologies, School of Information Technologies, 2015 BASE Show details 20 Planning Human-Computer Improvisation Nika, Jérôme; Echeveste, José-Manuel; Chemillier, Marc... In: International Computer Music Conference ; https://hal.archives-ouvertes.fr/hal-01053834 ; International Computer Music Conference, Sep 2014, Athens, Greece ; http://icmc14-smc14.net (2014) BASE Show details Page: 1 2 3 4 5

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