All Outputs (5)

A computational model of visual attention. [Dataset] (2017)
Data
CHILUKAMARI, J. 2017. A computational model of visual attention. [Dataset]

This dataset is supplementary to the full thesis, which is available on OpenAIR: http://hdl.handle.net/10059/2443. The dataset is compiled of two folders. The first folder ("Evaluation metrics") contains four MATLAB files in .m format and one plain t... Read More about A computational model of visual attention. [Dataset].

A computational model of visual attention. (2017)
Thesis
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. The performance of the state... Read More about A computational model of visual attention..

A low complexity visual saliency model based on in-focus regions and centre sensitivity. (2014)
Presentation / Conference Contribution
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 (ICCE-Berlin 2014), 7-10 September 2014, Berlin, Germany. New York: IEEE [online], article number 7034250, 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 of the algorithm in predicti... Read More about A low complexity visual saliency model based on in-focus regions and centre sensitivity..

A DCT based in-focus visual saliency detection algorithm. (2013)
Presentation / Conference Contribution
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 (ICCE-Berlin 2013), 9-11 September 2013, Berlin, Germany. New York: IEEE [online], article number 6698003. 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 present in in-focus areas using... Read More about A DCT based in-focus visual saliency detection algorithm..

Investigation of the effectiveness of video quality metrics in video pre-processing. (2013)
Presentation / Conference Contribution
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 (ICCE-Berlin 2013), 9-11 September 2013, Berlin, Germany. New York: IEEE [online], article number 6698005. 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 quality metrics are not effe... Read More about Investigation of the effectiveness of video quality metrics in video pre-processing..