Color information in a model of saliency

Color information in a model of saliency. Hamel, S., Guyader, N., Pellerin, D., & Houzet, D. In 2014 22nd European Signal Processing Conference (EUSIPCO), pages 226-230, Sep., 2014.

Paper abstract bibtex

Bottom-up saliency models have been developed to predict the location of gaze according to the low level features of visual scenes, such as intensity, color, frequency and motion. We investigate in this paper the contribution of color features in computing the bottom-up saliency. We incorporated a chrominance pathway to a luminance-based model (Marat et al. [1]). We evaluated the performance of the model with and without chrominance pathway. We added an efficient multi-GPU implementation of the chrominance pathway to the parallel implementation of the luminance-based model proposed by Rahman et al. [2], preserving real time solution. Results show that color information improves the performance of the saliency model in predicting eye positions.

@InProceedings{6952024,
  author = {S. Hamel and N. Guyader and D. Pellerin and D. Houzet},
  booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},
  title = {Color information in a model of saliency},
  year = {2014},
  pages = {226-230},
  abstract = {Bottom-up saliency models have been developed to predict the location of gaze according to the low level features of visual scenes, such as intensity, color, frequency and motion. We investigate in this paper the contribution of color features in computing the bottom-up saliency. We incorporated a chrominance pathway to a luminance-based model (Marat et al. [1]). We evaluated the performance of the model with and without chrominance pathway. We added an efficient multi-GPU implementation of the chrominance pathway to the parallel implementation of the luminance-based model proposed by Rahman et al. [2], preserving real time solution. Results show that color information improves the performance of the saliency model in predicting eye positions.},
  keywords = {gaze tracking;graphics processing units;image colour analysis;real-time systems;color information;bottom-up saliency;gaze location;visual scenes;color features;chrominance pathway;luminance-based model;multiGPU implementation;real time solution;eye positions;Image color analysis;Mathematical model;Visualization;Computational modeling;Graphics processing units;Gray-scale;Predictive models;color information;visual saliency;video;GPU},
  issn = {2076-1465},
  month = {Sep.},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569925829.pdf},
}

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