Content-based image copy detection
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Zhou, Z., Li, Y., Zhang, Y., Yin, Z., Qi, L., & Ma, R. (2021) · Knowledge-Based Systems · doi:10.1016/j.knosys.2021.107287 · Cited by 5 · see citing works
Concentric Circle-Based Image Signature for Near-Duplicate Detection in Large Databases
Cho, A. (2010) · ETRI Journal · doi:10.4218/etrij.10.0109.0623 · Cited by 5 · see citing works
Making Patch Based Descriptors More Distinguishable and Robust for Image Copy Retrieval
Baber, J., Fida, E., Bakhtyar, M., & Ashraf, H. (2015) · International Conference on Digital Image Computing: Techniques and Applications (DICTA) · doi:10.1109/dicta.2015.7371281 · Cited by 4 · see citing works
An attack invariant scheme for content-based video copy detection
Dutta, D., Saha, S. K., & Chanda, B. (2013) · Signal Image and Video Processing · doi:10.1007/s11760-013-0482-x · Cited by 4 · see citing works
Performance Enhancement of Patch-based Descriptors for Image Copy Detection
Baber, J., Bakhtyar, M., Noor, W., Basit, A., & Ullah, I. (2016) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2016.070361 · Cited by 4 · see citing works
Image Hashing Based on CS-LBP and DCT for Copy Detection
Shen, Q., & Zhao, Y. Q. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-24271-8_41 · Cited by 4 · see citing works
Near duplicate image matching techniques
Landge, A. A., & Mane, P. P. (2016) · International Conference on Information Communication and Embedded Systems · doi:10.1109/icices.2016.7518863 · Cited by 4 · see citing works
Image Copy Detection via Grouping in Feature Space Based on Virtual Prior Attacks
Hsiao, J.-H., Chen, C., Chien, L., & Chen⋆, M.-S. (2006) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2006.312888 · Cited by 4 · see citing works
Bag of Tricks and A Strong baseline for Image Copy DetectionPreprint
Wang, W., Zhang, W., Sun, Y., & Yang, Y. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2111.08004 · Cited by 4 · see citing works
Iris recognition method based on ordinal measure of discrete cosine transform coefficients
Arnia, F., Munadi, K., Fujiyoshi, M., & Hitoshi, K. (2012) · IEEE Symposium on Computers & Informatics (ISCI) · doi:10.1109/isci.2012.6222695 · Cited by 3 · see citing works
- Authors
- Kim, C.
- Affiliations
- Epson (United States) (US)
- Corresponding author
- Kim, Changick
- ORCID
- Kim, Changick
- Venue
- Signal Processing Image Communication
- Publisher
- Elsevier BV
- Published
- 2003-03
- Volume
- 18
- Issue
- 3
- Pages
- 169-184
- ISSN
- 0923-5965 (ISSN-L)
- OpenAlex
- W2038128495
- Cited by
- 165
- References
- 26
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 3 · 2023: 2 · 2022: 3 · 2021: 12 · 2020: 6 · 2019: 8 · 2018: 5 · 2017: 2 · 2016: 12 · 2015: 8 · 2014: 8 · 2013: 13 · 2012: 11
- FWCI
- 4.14
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Signal Processing Image Communication (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Digital Media Forensic Detection
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Steganography and Watermarking Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
- Keywords
- image copy detection, discrete cosine transform, AC coefficients, image watermarking
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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