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Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3089879
Abstract: Cardinality constraint, namely, constraining the number of nonzero outputs of models, has been widely used in structural learning. It can be used for modeling the dependencies between multidimensional labels. In hashing, the final outputs are…
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Keywords:
cardinality;
modeling cardinality;
multidimensional labels;
cardinality image ... See more keywords
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Published in 2022 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2022.3161149
Abstract: In recent decades, a large number of perceptual image hashing schemes have been designed to secure the authenticity and integrity of digital images. However, the feasible criterion to evaluate the performances of hashing schemes has…
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Keywords:
image hashing;
evaluation method;
perceptual image;
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Published in 2020 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2019.2947197
Abstract: Image hashing has been widely used in image retrieval tasks. Many existing methods generate hashing codes based on image feature representations. They rarely consider the rich information such as image clustering information contained in the…
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Keywords:
generative adversarial;
image hashing;
adversarial networks;
image ... See more keywords
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Published in 2023 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3139217
Abstract: Compression technology for representing image is on demand for efficiently processing images in the Big Data era. Image hashing is an effective compression technology for computing a short representation based on visual content of input…
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Keywords:
copy detection;
saliency map;
image hashing;
image ... See more keywords