Saliency Detection Based on Background Continuity Priori Knowledge

Fig. 3. Each stage for calculating foreground weight of each super-pixel of image based on background continuity. (a) Original image; (b) SLIC segmentation; (c) foreground weight before correction; (d) foreground weight after correction

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Fig. 4. Partial saliency detection results of each method on ASD dataset

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Fig. 5. PR curves and MAEs on three datasets. (a)(b) ASD; (c)(d) PASCAL-S; (e)(f) ECSSD

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Fig. 6. Comparison of different methods on three datasets. (a) ASD; (b) PASCAL-S; (c) ECSSD

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Fig. 7. Comparison of saliency results for image processed by three methods. (a) Original image; (b) based on global contrast; (c) based on local contrast; (d) based on background continuity

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Table 1. Comparison of all index values obtained by three methods on ASD dataset
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Table 1. Comparison of all index values obtained by three methods on ASD dataset
Evaluationindex Localcontrast Globalcontrast Backgroundcontinuity
Precision 0.8608 0.7458 0.8476
Recall 0.5405 0.6955 0.7411
F_β 0.7572 0.7336 0.8204

Table 2. Comparison of running time for different methods
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Table 2. Comparison of running time for different methods
Method SF^[13] GS^[8] MR^[9] SO^[10] Ours
Running time /s 0.265 0.269 0.270 0.319 0.937