Now showing items 1-3 of 3

    • Feature-Cut: Video Object Segmentation Through Local Feature Correspondences. 

      KOKARAM, ANIL; RING, DANIEL (IEEE Computer Society, 2009)
      Accurately segmenting objects in video is a difficult and time consuming process in modern post-production houses. Automatic systems may work for a small number of frames, but will typically fail over longer video shots. ...
    • Information Retrieval Assisted Object Segmentation In Video. 

      KOKARAM, ANIL CHRISTOPHER; RING, DANIEL (IEEE, 2008)
      Accurate object segmentation in video is difficult. The dynamic nature of the medium causes drifts in the feature spaces traditionally used in segmentation of objects in still images. For example, colour distributions, ...
    • User-Assisted Feature Correspondence Matching. 

      KOKARAM, ANIL CHRISTOPHER; RING, DANIEL (IEEE, 2009)
      Feature matching is a vital stage in many image processing applications. Finding accurate correspondences is made difficult by phenomena such as occlusions, non-rigid deformations, motion blur and more. We posit that some ...