Deep Learning Algorithm for Picture Frame Detection on Social Media Videos

Zheng, Fucheng; Yang, Cheng; Chong, Peter Han Joo; Wang, George; Ali, Ghulam; Lam, Patrick

doi:10.1109/iotais53735.2021.9628865

Cited by 1 publication

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References 15 publications

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“…This brings huge losses to the self-interest of the original creator [8]. Therefore, the issue of intellectual property protection of digital media has attracted more and more attention, and the issue of digital media certification has become increasingly prominent [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Application of Image Color Gamut Boundary Judgment Algorithm in Digital Media

2022

Wireless Communications and Mobile Computing

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Image chromatic aberration evaluation is one of the research hotspots and academic difficulties in the field of color science and imaging technology. Based on the algorithm theory of image color gamut boundary judgment, this paper constructs its application model in digital media. The model uses the threshold color difference image as a reference and applies it to the evaluation experiment of color difference above the threshold based on the quantitative estimation method. During the simulation process, the improved HAD dual-color image digital boundary judgment algorithm is programmed. For small color difference data at the threshold level, the calculated color difference of the boundary judgment algorithm framework is smaller than the visual perception color difference; for the large color difference data above the threshold, the boundary judgment algorithm framework is given. The research results of the threshold color difference experiment show that the perceptible color difference threshold and acceptable color difference threshold of image color gamut observers for image color difference are 1.85 AE and 3.63 AE, respectively, which are basically twice the relationship. The visually perceptible chromatic aberration threshold and acceptable chromatic aberration threshold for lightness parameters are higher than those of chroma and hue, which shows that the boundary judgment algorithm framework has certain advantages for the evaluation performance of color digital image threshold chromatic aberration and effectively improves the algorithm robustness.

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Section: Introductionmentioning

confidence: 99%

Application of Image Color Gamut Boundary Judgment Algorithm in Digital Media

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

Deep Learning Algorithm for Picture Frame Detection on Social Media Videos

Cited by 1 publication

References 15 publications

Application of Image Color Gamut Boundary Judgment Algorithm in Digital Media

Application of Image Color Gamut Boundary Judgment Algorithm in Digital Media

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