@inproceedings{kirchknopf_multimodal_2021, address = {Lille, France}, title = {Multimodal {Detection} of {Information} {Disorder} from {Social} {Media}}, url = {https://ieeexplore.ieee.org/document/9461898}, doi = {10/gmxnm5}, abstract = {Social media is accompanied by an increasing proportion of content that provides fake information or misleading content, known as information disorder. In this paper, we study the problem of multimodal fake news detection on a largescale multimodal dataset. We propose a multimodal network architecture that enables different levels and types of information fusion. In addition to the textual and visual content of a posting, we further leverage secondary information, i.e. user comments and metadata. We fuse information at multiple levels to account for the specific intrinsic structure of the modalities. Our results show that multimodal analysis is highly effective for the task and all modalities contribute positively when fused properly.}, language = {en}, urldate = {2021-07-12}, booktitle = {International {Conference} on {Content}-{Based} {Multimedia} {Indexing} ({CBMI})}, publisher = {IEEE}, author = {Kirchknopf, Armin and Slijepcevic, Djordje and Zeppelzauer, Matthias}, year = {2021}, note = {arXiv: 2105.15165}, keywords = {Artificial Intelligence, Center for Artificial Intelligence, Digital Media, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Machine Learning, Poster, Wiss. Beitrag, best-akirchknopf, best-mzeppelzauer, peer-reviewed}, pages = {4}, } @inproceedings{strebl_how_2020, address = {Graz (Austria)}, title = {How {High} is the {Tide}? {Estimation} of {Flood} {Level} from {Social} {Media}}, doi = {10/gnt2wh}, booktitle = {Proceedings of {Joint} {Austrian} {Computer} {Vision} and {Robotics} {Workshop} 2020}, publisher = {TU Graz}, author = {Strebl, Julia and Slijepcevic, Djordje and Kirchknopf, Armin and Sakeena, Muntaha and Seidl, Markus and Zeppelzauer, Matthias}, year = {2020}, keywords = {Center for Artificial Intelligence, Computer Vision, Data Science, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Open Access, Visual Computing, Wiss. Beitrag, peer-reviewed}, pages = {2}, } @inproceedings{strebl_flood_2019, address = {Nice, France}, title = {Flood {Level} {Estimation} from {Social} {Media} {Images}}, volume = {2670}, booktitle = {{CEUR} {Proceedings} of the {MediaEval} 2019 {Workshop}}, author = {Strebl, Julia and Slijepcevic, Djordje and Kirchknopf, Armin and Sakeena, Muntaha and Seidl, Markus and Zeppelzauer, Matthias}, year = {2019}, keywords = {Center for Artificial Intelligence, Computer Vision, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Vortrag, Wiss. Beitrag, ⛔ No DOI found}, pages = {2}, } @inproceedings{kirchknopf_detection_2018, address = {Sophia Antipolis, France}, title = {Detection of {Road} {Passability} from {Social} {Media} and {Satellite} {Images}}, abstract = {This paper presents the contribution of Team MC-FHSTP to the multimedia satellite task at the MediaEval 2018 benchmark. We present two methods, one for the estimation of the passability of roads from social media images due to flooding and one method that estimates passability from satellite images. We present the results obtained in the benchmark for both methods.}, booktitle = {{CEUR} {Proceedings} of the {MediaEval} 2018 {Workshop}}, author = {Kirchknopf, Armin and Slijepcevic, Djordje and Zeppelzauer, Matthias and Seidl, Markus}, year = {2018}, keywords = {Center for Artificial Intelligence, Computer Vision, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Vortrag, Wiss. Beitrag, ⛔ No DOI found}, pages = {2}, } @inproceedings{blumenstein_livevis_2017, address = {Phoenix, Arizona USA}, title = {{LiveVis}: {Visualizing} {Results} of {Second} {Screen} {Surveys} in {Real} {Time} at {TV} {Stages}}, abstract = {Opinion polls are omnipresent in broadcasting concepts and play an important role in live TV settings. However, involving the audience more intensively in both, the studio as well as at home in front of the television sets, and bringing them together using real-time interaction is still an open challenge. To tackle this aspect, we present LiveVis – a dynamic circle packing visualization with color coding. LiveVis visualizes data based on an individual web questionnaire which is filled out using a second screen device and is embedded into the TV stage in real time. A proof of concept prototype was implemented and applied during several stage events such as the c-tv conference which is produced as a TV show and streamed live over the internet. User feedback showed that the interactive real time survey was very well received by the audience.}, booktitle = {Workshop {Vis} in {Practice} - {Visualization} {Solutions} in the {Wild}, {IEEE} {VIS} 2017}, publisher = {IEEE}, author = {Blumenstein, Kerstin and Leitner, Bianca and Thür, Niklas and Kirchknopf, Armin and Seidl, Markus and Aigner, Wolfgang}, year = {2017}, note = {Projekt: MEETeUX Projekt: VALID}, keywords = {2017, Center for Artificial Intelligence, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, TV, information visualisation, mobile, second screen, television, ⛔ No DOI found}, } @inproceedings{rind_contractvis_2018, title = {{ContractVis} {HighLighter}: the {Visual} {Assistant} for the {Fine} {Print}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/contractvis-highlighter-visual.pdf}, abstract = {Navigating and comprehending the legal text of web shops’ general terms and conditions is a burden for consumers. This poster abstract describes work-in-progress to design a visualization environment specifically addressing the needs of online shoppers. This environment highlights keywords of relevance (e.g., returning items), provides visual overview, and supports comparison of two texts.}, booktitle = {Proceedings of the {Posters} and {Demos} {Track} of the 14th {International} {Conference} on {Semantic} {Systems} - {SEMANTiCS2018}}, publisher = {CEUR-WS}, author = {Rind, Alexander and Grassinger, Florian and Kirchknopf, Armin and Stoiber, Christina and Özüyilmaz, Aslihan}, editor = {Khalili, Ali and Koutraki, Maria}, year = {2018}, note = {Projekt: ContractVis}, keywords = {FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Wiss. Beitrag, information visualization, peer-reviewed, personal context, text analytics, ⛔ No DOI found}, } @misc{kirchknopf_explainable_2020, address = {Wien}, type = {Invited {Talk}}, title = {Explainable {AI}}, language = {English}, author = {Kirchknopf, Armin}, month = feb, year = {2020}, keywords = {Computer Vision, Department Medien und Digitale Technologien, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Invited Talk, Machine Learning, Media Computing Group, Präsentation, Publikationstyp Vortrag, Wiss. Beitrag}, }