Significance of Bottom-Up Attributes in Video Saliency Detection without Cognitive Bias

@article{Hosseinkhani2018SignificanceOB,
  title={Significance of Bottom-Up Attributes in Video Saliency Detection without Cognitive Bias},
  author={Jila Hosseinkhani and Chris Joslin},
  journal={2018 IEEE 17th International Conference on Cognitive Informatics \& Cognitive Computing (ICCI*CC)},
  year={2018},
  pages={606-613}
}
  • Jila Hosseinkhani, C. Joslin
  • Published 25 May 2018
  • Computer Science
  • 2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)
Saliency in an image or video is the region of interest that stands out relative to its neighbors and consequently attracts more human attention. To determine the salient areas within a scene, visual importance and distinctiveness of the regions must be measured. A key factor in designing saliency detection algorithms for videos is to understand how different visual cues affect the human perceptual and visual system. To this end, we investigated the bottom-up features including color, texture… 

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