HarmonySet: A Comprehensive Dataset for Understanding Video-Music Semantic Alignment and Temporal Synchronization
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Abstract (arXiv)
This paper introduces HarmonySet, a comprehensive dataset designed to advance video-music understanding. HarmonySet consists of 48,328 diverse video-music pairs, annotated with detailed information on rhythmic synchronization, emotional alignment, thematic coherence, and cultural relevance. We propose a multi-step human-machine collaborative framework for efficient annotation, combining human insights with machine-generated descriptions to identify key transitions and assess alignment across multiple dimensions. Additionally, we introduce a novel evaluation framework with tasks and metrics to assess the multi-dimensional alignment of video and music, including rhythm, emotion, theme, and cultural context. Our extensive experiments demonstrate that HarmonySet, along with the proposed evaluation framework, significantly improves the ability of multimodal models to capture and analyze the intricate relationships between video and music.
Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). Builds on 57 of its 77 references that are in the map. First posted on arXiv 3 Mar 2025.
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57 of 77 references.
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Citing papers per year: 2025: 5; 2026: 9.
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- 2026V2M-Zero: Zero-Pair Time-Aligned Video-to-Music Generation11 Mar 2026
- 2025MVAD: A Benchmark Dataset for Multimodal AI-Generated Video-Audio Detection29 Nov 2025
- 2025FlexSelect: Flexible Token Selection for Efficient Long Video Understanding1 Jun 2025
- 2025Vision-to-Music Generation: A Survey27 Mar 2025
- 2025AudioX: A Unified Framework for Anything-to-Audio Generation13 Mar 2025