The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Graph-Based Visual Saliency
Abstract
A new bottom-up visual saliency model, Graph-Based Visual Saliency (GBVS), is proposed. It consists of two steps: first forming activation maps on certain feature \nchannels, and then normalizing them in a way which highlights conspicuity and admits combination with other maps. The model is simple, and biologically plausible \ninsofar as it is naturally parallelized. This model powerfully predicts human fixations on 749 variations of 108 natural images, achieving 98% of the ROC area \nof a human-based control, whereas the classical algorithms of Itti & Koch ([2], [3], [4]) achieve only 84%.
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Citations
Cites
A model of saliency-based visual attention for rapid scene analysis
Itti, L., Koch, C., & Niebur, E. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.730558 · Cited by 11,271
Self-citationA saliency-based search mechanism for overt and covert shifts of visual attention
Itti, L., & Koch, C. (2000) · Vision Research · doi:10.1016/s0042-6989(99)00163-7 · Cited by 3,156
Self-citationModeling the role of salience in the allocation of overt visual attention
Parkhurst, D., Law, K., & Niebur, E. (2002) · Vision Research · doi:10.1016/s0042-6989(01)00250-4 · Cited by 1,388
Saliency Based on Information Maximization
Bruce, N. D. B., & Tsotsos, J. K. (2005) · neural information processing systems · Cited by 1,134
Preattentive texture discrimination with early vision mechanisms
Malik, J., & Perona, P. (1990) · Journal of the Optical Society of America A · doi:10.1364/josaa.7.000923 · Cited by 960
Self-citationVisual correlates of fixation selection: effects of scale and time
Tatler, B. W., Baddeley, R. J., & Gilchrist, I. D. (2005) · Vision Research · doi:10.1016/j.visres.2004.09.017 · Cited by 700
Is bottom-up attention useful for object recognition?
Rutishauser, U., Walther, D., Koch, C., & Perona, P. (2004) · Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004. · doi:10.1109/cvpr.2004.1315142 · Cited by 592
Self-citationAttention activates winner-take-all competition among visual filters
Lee, D. K., Itti, L., Koch, C., & Braun, J. (1999) · Nature Neuroscience · doi:10.1038/7286 · Cited by 457
Self-citationDoes luminance‐contrast contribute to a saliency map for overt visual attention?
Einhäuser, W., & Peter König, B. (2003) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2003.02508.x · Cited by 236
Modelling gaze shift as a constrained random walk
Boccignone, G., & Ferraro, M. (2003) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2003.09.011 · Cited by 130
Cited by
ImageNet Large Scale Visual Recognition Challenge
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al. (2015) · International Journal of Computer Vision · doi:10.1007/s11263-015-0816-y · Cited by 39,380
Saliency Detection via Graph-Based Manifold Ranking
Yang, C., Zhang, L., Lu, H., Ruan, X., & Yang, M.-H. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2013.407 · Cited by 2,554
Bernal, J., Sánchez, F. J., Fernández-Esparrach, G., Gil, D., Rodríguez, C., & Vilariño, F. (2015) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2015.02.007 · Cited by 2,191
Jiang, M., Huang, S., Duan, J., & Zhao, Q. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298710 · Cited by 729
Salient Object Detection via Integrity Learning
Zhuge, M., Fan, D.-P., Liu, N., Zhang, D., Xu, D., & Shao, L. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2022.3179526 · Cited by 403
Metadata
- Authors
- Harel, J., Koch, C., & Perona, P.
- Venue
- Advances in Neural Information Processing Systems 19
- Publisher
- The MIT Press
- Published
- 2007-09-07
- Pages
- 545-552
- OpenAlex
- W2135957164
- Cited by
- 3,439
- References
- 12
- FWCI
- 49.53
- Type
- book chapter
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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