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Now showing items 1-13 of 13

  • Advanced video debanding 

    PITIE, FRANCOIS; KOKARAM, ANIL (ACM, 2014)
    High efficiency video coding has made it possible to stream video over bandwidth constrained communication networks. Depending on bit rate requirements, a video encoder sacrifices some image de- tails which can then ...
  • Blotch and scratch removal in archived film using a semi-transparent corruption model and a ground-truth generation technique 

    PITIE, FRANCOIS (Springer, 2013)
    This paper has two main contributions. The first is a Bayesian framework for removing two common types of degradations on video known as blotches and line scratches. Most removal techniques assume complete obliteration of ...
  • A Comparative Error Analysis of Audio-Visual Source Localization 

    BOLAND, FRANCIS MORGAN; PITIE, FRANCOIS; KOKARAM, ANIL CHRISTOPHER (2008)
    This paper examines the accuracy of audio-video based localization using multiple cameras and multi-microphones. Covariance mapping theory is used to determine the accuracy of audio and video based localization. Both ...
  • Content Controlled Image Representation for Sports Streaming 

    KOKARAM, ANIL; PITIE, FRANCOIS (Suvisoft, 2005)
    Content based analysis has traditionally been posed in the context of identifying some material in response to a user query. This paper illustrates that given a content based analysis process that can identify semantic ...
  • Electronic slide matching and enhancement of a lecture video 

    KOKARAM, ANIL CHRISTOPHER; PITIE, FRANCOIS (2007)
    This paper presents an automatic method to enhance video presentations for distance learning applications. From a material recorded by a fixed, non professional camera, the system matches the slides displayed during the ...
  • Extraction of Non-Binary Blotch Mattes. 

    PITIE, FRANCOIS; KOKARAM, ANIL CHRISTOPHER; AHMED, MOHAMED (IEEE, 2009)
    Automated blotch removal is important in film restoration and typically involves a detection/interpolation step. Current algorithms model the corruption as a binary mixture between the original, clean images and an ...
  • Feature-Assisted Sparse to Dense Motion Estimation using Geodesic Distances. 

    RING, DANIEL; PITIE, FRANCOIS (IEEE, 2009)
    Large motion displacements in image sequences are still a problem for most motion estimation techniques. Progress in feature matching allows to establish robust correspondences between images for a sparse set of points. ...
  • The linear Monge-Kantorovitch linear colour mapping for example-based colour transfer 

    KOKARAM, ANIL CHRISTOPHER; PITIE, FRANCOIS (2007)
    A common task in image editing is to change the colours of a picture to match the desired colour grade of another picture. Finding the correct colour mapping is tricky because it involves numerous interrelated operations, ...
  • Localised deflicker of moving images 

    KOKARAM, ANIL CHRISTOPHER; PITIE, FRANCOIS (2006)
    Brightness fluctuations in sequences are a typical impairment in archive and modern footage. These fluctuations are mainly temporal but they may also present spatial variations across each individual frame. Current deflicker ...
  • N-dimensional probability density function transfer and its aplication to colour transfer 

    KOKARAM, ANIL CHRISTOPHER; PITIE, FRANCOIS (2005)
    This article proposes an original method to estimate a continuous transformation that maps one N-dimensional distribution to another. The method is iterative, non-linear, and is shown to converge. Only 1D marginal distribution ...
  • Off-line multiple object tracking using candidate selection and the viterbi algorithm 

    KOKARAM, ANIL; PITIE, FRANCOIS (2005)
    This paper presents a probabilistic framework for off-line multiple object tracking. At each timestep, a small set of deterministic candidates is generated which is guaranteed to contain the correct solution. Tracking an ...
  • User-assisted reflection detection and feature point tracking 

    KOKARAM, ANIL; PITIE, FRANCOIS (2013)
    Reflections in image sequences violate the single layer model used by most current image processing techniques. As a result reflec- tions cause many techniques to fail e.g. detection, tracking, motion estimation, etc. ...
  • Using One Graph-Cut to Fuse Multiple Candidate Maps in Depth Estimation. 

    PITIE, FRANCOIS (2009)
    Graph-cut techniques for depth and disparity estimations are known to be powerful but also slow. We propose a graph-cut framework that is able to estimate depth maps from a set of candidate values. By employing a ...