Social Cameras

  • Andrea Cavallaro. Social Cameras. Keynote lecture at International Conference on Computer Vision, Imaging and Computer Graphics, 2015.
    [BibTeX] [Abstract]

    The pervasiveness of amateur wearable and handheld cameras has been revolutionizing the way private and public events are captured and shared. This explosion of content from social cameras and their shared user-generated videos offers the opportunity for new ways of analysing and timely reporting stories that range from music concerts and sports events to disaster scenes and protests. However, this large amount of increasingly available videos and their varying quality makes the selection and editing very difficult thus strongly limiting the opportunity to harvest the value of these user-generated videos. This talk will cover audio-visual methods for the automated grouping and synchronisation of multi-view user-generated videos in unconstrained scenarios. I will present ways to align these videos on a global timeline and show how to automatically edit them to produce a coherent final cut.

    @Misc{2015-03-CAVALLARO,
    author = {Andrea Cavallaro},
    title = {{Social Cameras}},
    howpublished = {Keynote lecture at International Conference on Computer Vision, Imaging and Computer Graphics},
    date = {2015-03-11},
    address = {Berlin, Germany},
    year = {2015},
    abstract = {The pervasiveness of amateur wearable and handheld cameras has been revolutionizing the way private and public events are captured and shared. This explosion of content from social cameras and their shared user-generated videos offers the opportunity for new ways of analysing and timely reporting stories that range from music concerts and sports events to disaster scenes and protests. However, this large amount of increasingly available videos and their varying quality makes the selection and editing very difficult thus strongly limiting the opportunity to harvest the value of these user-generated videos. This talk will cover audio-visual methods for the automated grouping and synchronisation of multi-view user-generated videos in unconstrained scenarios. I will present ways to align these videos on a global timeline and show how to automatically edit them to produce a coherent final cut.}
    }

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