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Guides, workflows, tool skills, and platform updates for better everyday work.
Practical, reusable guides based on real tool workflows.
In-depth analysis of how these video platforms detect video duplication and re-uploading behavior, exploration of the algorithmic technologies employed, and detailed explanation of their working principles through specific examples.
Read articleComparative analysis of the technical characteristics and application scenarios of three mainstream hash algorithms: pHash, PDQ, and TMK+PDQF.
Read moreList the methods that can significantly change the DCT low-frequency coefficients, including global tone mapping, blurring, occlusion, non-uniform scaling, rotation, and resampling, etc., and analyze their varying degrees of impact based on the frequency domain energy distribution mechanism, providing technical references for image deduplication and detection.
Read moreWhen reposting videos, can cropping and adding watermarks bypass detection by perceptual hashing (pHash, PDQ, TMK+PDQF)? Which perceptual hash (pHash, PDQ, TMK+PDQF) is more robust against cropping or watermarking?
Read moreAfter a user uploads a video, if they upload a video with a modified hash value, will the platform recognize that the video's hash has been altered?
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