Now showing items 1-5 of 5

  • A computational model of visual attention. 

    Chilukamari, Jayachandra (Robert Gordon University School of Engineering, 2017-02-01)
    CHILUKAMARI, J. 2017. A computational model of visual attention. Robert Gordon University, PhD thesis.
    Visual attention is a process by which the Human Visual System (HVS) selects most important information from a scene. Visual attention models are computational or mathematical models developed to predict this information. ...
  • A DCT based in-focus visual saliency detection algorithm. 

    Chilukamari, Jayachandra; Kannangara, Sampath; Maxwell, Grant M. (IEEE https://doi.org/10.1109/ICCE-Berlin.2013.6698003, 2013-09-09)
    CHILUKAMARI, J., KANNANGARA, S. and MAXWELL, G. 2013. A DCT based in-focus visual saliency detection algorithm. In Proceedings of the 3rd IEEE international conference on consumer electronics - Berlin (ICCE-Berlin 2013), 9-11 September 2013, Berlin, Germany. New York: IEEE [online], pages 1-5. Available from: https://doi.org/10.1109/ICCE-Berlin.2013.6698003
    A novel low-complexity visual saliency detection algorithm for detecting visually salient regions in images based on camera focus is presented. This fast in-focus region detection algorithm detects salient-frequencies ...
  • Investigation of the effectiveness of video quality metrics in video pre-processing. 

    Chilukamari, Jayachandra; Kannangara, Sampath; Maxwell, Grant M. (IEEE https://doi.org/10.1109/ICCE-Berlin.2013.6698005, 2013-09-09)
    CHILUKAMARI, J., KANNANGARA, S. and MAXWELL, G. 2013. Investigation of the effectiveness of video quality metrics in video pre-processing. In Proceedings of the 3rd IEEE international conference on consumer electronics - Berlin (ICCE-Berlin 2013), 9-11 September 2013, Berlin, Germany. New York: IEEE [online], pages 1-5. Available from: https://doi.org/10.1109/ICCE-Berlin.2013.6698005
    This paper presents an investigation of the effectiveness of current video quality measurement metrics in measuring variations in perceptual video quality of pre-processed video. The results show that full-reference video ...
  • A low complexity visual saliency model based on in-focus regions and centre sensitivity. 

    Chilukamari, Jayachandra; Kannangara, Sampath; Maxwell, Grant M. (IEEE https://doi.org/10.1109/ICCE-Berlin.2014.7034250, 2014-09-10)
    CHILUKAMARI, J., KANNANGARA, S. and MAXWELL, G. 2014. A low complexity visual saliency model based on in-focus regions and centre sensitivity. In Proceedings of the 4th IEEE international conference on consumer electronics - Berlin (ICCE-Berlin 2014), 7-10 September 2014, Berlin, Germany. New York: IEEE [online], pages 411-414. Available from: https://doi.org/10.1109/ICCE-Berlin.2014.7034250
    A novel low-complexity visual saliency detection algorithm for detecting salient regions in images is proposed. The algorithm derives salient regions based on in-focus regions and image centre sensitivity. The performance ...
  • A new video quality metric for compressed video. 

    Bhat, Abharana Ramdas (Robert Gordon University School of Engineering, 2012-02)
    Video compression enables multimedia applications such as mobile video messaging and streaming, video conferencing and more recently online social video interactions to be possible. Since most multimedia applications are ...