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Unlocking implicit motion for evaluating image complexity

delete2025-07-08
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PRE
AI
Y
Yixiao Li
杨
杨小远 (Xiaoyuan Yang) *
Y
Yuqing Luo
H
Hadi Amirpour
H
Hantao Liu
W
Wei Zhou *
DOI：10.1016/j.displa.2025.103131delete
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Abstract

Abstract

En 中文
• 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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2.1K
Citations:
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B
Beihang University
Scholars:
5.1W
Papers: 4.1W
Citations: 37
C
Cardiff University
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U
University of Klagenfurt
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