Shaobo Ding, Yali Zhang, Kun Zhang. Video Skin-Color Enhancement Method Based on Video-Guided Model Updates[J]. Laser & Optoelectronics Progress, 2023, 60(2): 0210014
- Laser & Optoelectronics Progress
- Vol. 60, Issue 2, 0210014 (2023)
Fig. 1. System structure of the proposed method
Fig. 2. Common shot boundary types. (a) Hard transition; (b) soft transition
Fig. 3. Confirmation process of HT
Fig. 4. Confirmation process of ST
Fig. 5. Variation of shot boundary detection precision with fusion weight
Fig. 6. Skin color sampling process. (a) 68 feature points; (b) feature point number and area division; (c) calculating the midpoint coordinates to determine the reference point; (d) 210 skin-color reference points
Fig. 7. Distribution of human skin color in the YCbCr color space
Fig. 8. Skin mask merging
Fig. 9. Skin-color classification results for different connected domains in the current frame
Fig. 10. Distribution of preferred skin color of three races. (a) Asian; (b) Caucasian; (c) African
Fig. 11. Distribution of preferred skin color of Asian. (a) Distribution of 30 points in the YCbCr color space; (b) 1D plane fitting; (c) 2D quadric surface fitting; (d) curve determined by intersection of the 1D plane and the 2D quadric surface
Fig. 12. Comparison of visual continuity. (a) Original frames; (b) Ellipse mapping method; (c) proposed method
Fig. 13. Skin color enhancement. (a) Asian; (b) Caucasian; (c) African
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Table 1. Distribution of skin color and average chrominance of three races at each luminance level
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Table 2. Update times of different skin models
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Table 3. Execution time of each module
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Table 4. Mean opinion score for subjective assessment of test video
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