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Research challenges

This research addresses challenges in real-time visual identification of content shot in the same location, merging professional and user-generated footage. It explores features, descriptors, and matching methods tailored for instantaneous recognition. Additionally, it presents robust calibration methods for cameras, particularly focusing on avoiding drift and inaccuracies due to smartphone artifacts. The study also investigates efficient encoding techniques for panoramic, omnidirectional, and free-viewpoint audiovisual content, enhancing streaming capabilities.

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Research challenges

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  1. Research challenges ICoSOLE Consortium 2014-06

  2. Research challenges • Features, descriptors & matching methdos for real-time visual identification of content shot on same location combining professional and user generated content • Real-time methods for calibration of cameras avoiding drift and beeing robust against artefacts caused by cameras of smartphones or similar • Efficient multiple-stream encoding of panoramic/omni-directional or even free-viewpoint audiovisual content

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