CVDec 4, 2024
Gesture Classification in Artworks Using Contextual Image Features
arXiv:2412.03456v11 citationsh-index: 12
Originality Synthesis-oriented
AI Analysis
This work addresses gesture classification in artworks to enhance art understanding, but it appears incremental as it builds on existing methods with contextual features.
The paper tackled the problem of recognizing smell gestures in historical artworks by combining local features with global image context, which improved classification performance across different backbones.
Recognizing gestures in artworks can add a valuable dimension to art understanding and help to acknowledge the role of the sense of smell in cultural heritage. We propose a method to recognize smell gestures in historical artworks. We show that combining local features with global image context improves classification performance notably on different backbones.