arXiv:2602.03762v4 Announce Type: replace-cross Abstract: Visually-guided acoustic highlighting seeks to rebalance audio in alignment with the accompanying video, creating a coherent audio-visual experience. While visual saliency and enhancement have been widely studied, acoustic highlighting remains underexplored, often leading to misalignment between visual and auditory focus. Existing approaches use discriminative models, which struggle with the inherent ambiguity in audio remixing, where no natural one-to-one mapping exists between poorly-balanced and well-balanced audio mixes. To address
The continuous advancements in AI, particularly in generative models and audio-visual processing, are enabling more sophisticated solutions for multimedia content creation and enhancement.
This development indicates a growing capability for AI to autonomously refine and balance complex media, potentially improving user experience across various applications from entertainment to communication.
The ability to automatically align visual and auditory focus through AI could reduce manual post-production efforts and create more immersive or coherent media experiences.
- · Media Production Companies
- · Content Creators
- · AI/ML Developers
- · Streaming Platforms
- · Manual audio engineers (routine tasks)
Improved audio-visual coherence in generated or enhanced multimedia content.
Reduced production costs and faster turnaround times for media requiring audio balancing and highlighting.
New forms of personalized or adaptive media where AI intelligently adjusts audio based on user gaze or preferences.
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Read at arXiv cs.LG