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Sun et al., 2021 - Google Patents

Measuring the Binary Interestingness of Images: A Unified Prediction Framework Combining Discriminant Correlation Analysis and Multiple Kernel Learning

Sun et al., 2021

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Document ID
848370855931164990
Author
Sun Q
Wang L
Li M
Zhang L
Li J
Wang S
Publication year
Publication venue
Proceedings of the 2021 4th International Conference on Blockchain Technology and Applications

External Links

Snippet

In the modern content-based image retrieval systems, there is an increasingly interest in constructing a computationally effective model to measure the interestingness of images since the measurement of image interestingness could, more or less, improve the human …
Continue reading at dl.acm.org (PDF) (other versions)

Classifications

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    • G06F17/30256Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data using a combination of image content features
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