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Unlocking implicit motion for evaluating image complexity
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DOI：10.1016/j.displa.2025.103131.png)
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Abstract
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• A novel motion inspired image complexity assessment (ICA) metric (MICM). • Explicitly mining implicit motion information in static information of images. • A hierarchical loss enhances motion representation by video-to-text alignments. • Empirical results highlight the importance of implicit motion in ICA.
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