Histogram of Low-Level Visual Features for Salient Feature Extraction

Author:

Mehboob Rubab,Javed AliORCID,Dawood Hassan,Dawood Hussain

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference59 articles.

1. Hou, J.; Yang, S.; Lin, W.; Zhao, B.; Fang, Y.: Learning image aesthetic assessment from object-level visual components. arXiv:2104.01548 (2021)

2. Wang, T.; Borji, A.; Zhang, L.; Zhang, P.; Lu, H.: A stagewise refinement model for detecting salient objects in images. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 4019–4028 (2017)

3. Hu, Y.; Wang, Z.; AlRegib, G.: Texture classification using block intensity and gradient difference (bigd) descriptor. Signal Process. Image Commun. 83, 115770 (2020)

4. Nazir, A.; Nazir, K.: An efficient image retrieval based on fusion of low-level visual features. arXiv:1811.12695 (2018)

5. Ojala, T.; Pietikainen, M.; Harwood, D.: Performance evaluation of texture measures with classification based on Kullback discrimination of distributions. In: Proceedings of 12th international conference on pattern recognition, vol. 1. IEEE, pp. 582–585 (1994)

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