The Social Picture: Advanced Image Analysis Applications

dc.contributor.authorMilotta, Filippo L. M.en_US
dc.contributor.authorBellocchi, Micheleen_US
dc.contributor.authorBattiato, Sebastianoen_US
dc.contributor.editorAndrea Giachetti and Paolo Pingi and Filippo Stancoen_US
dc.date.accessioned2017-09-11T06:59:22Z
dc.date.available2017-09-11T06:59:22Z
dc.date.issued2017
dc.description.abstractIn The Social Picture (TSP) an huge amount of crowdsourced social images can be collected and explored. We distinguish three main kind of events: public, private and cultural heritage related ones. The framework embeds a number of advanced Computer Vision algorithms, able to capture the visual content of images and organize them in a semantic way. In this paper we employ VisualSFM (VSFM) to add new features in TSP through the computation of a 3D sparse reconstruction of a collection within TSP. VisualSFM creates a N-View Match (NVM) file as output. Starting from this NVM file, which characterizes the 3D sparse reconstruction, we are able to build two important relationships: the one between cameras and points and the one between cameras themselves. Using these relationships, we implemented two advanced Image Analysis applications. In the first one, we consider the cameras as nodes in a fully connected graph in which the edges weights are equal to the number of matches between cameras. The spanning tree of this graph is used to explore images in a meaningful way, obtaining a scene summarization. In the second application, we define three kinds of density maps with relation to image features: density map, weighted-density map and social-weighted-density map. Results of a test conducted on a collection from TSP is shown.en_US
dc.description.sectionheadersImages, Visualization, and Interaction
dc.description.seriesinformationSmart Tools and Apps for Graphics - Eurographics Italian Chapter Conference
dc.identifier.doi10.2312/stag.20171226
dc.identifier.isbn978-3-03868-048-2
dc.identifier.pages47-52
dc.identifier.urihttps://doi.org/10.2312/stag.20171226
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/stag20171226
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]
dc.subjectDisplay Algorithms
dc.subjectViewing Algorithms.
dc.subjectI.3.8 [Computer Graphics]
dc.subjectApplications
dc.titleThe Social Picture: Advanced Image Analysis Applicationsen_US
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