EMOVIS: Emotion-Optimized Image Processing

arXiv cs.CV / 5/6/2026

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Key Points

EMOVIS proposes emotion-optimized image processing for real-time video capture, aiming to add the expressive capabilities of cinematography to standard ISP pipelines.
The method maps a small set of high-level emotions (Happy, Calm, Angry, Sad) to low-level ISP controls such as color saturation, local tone mapping, and sharpness, validated through a statistically significant calibration study.
It introduces a control framework that applies emotion-driven adjustments while keeping the underlying ISP processing stages unchanged, enabling integration with existing ISP hardware.
Blind A/B testing indicates strong viewer preference for emotion-aligned renderings, with an 87% preference rate in trials where the target emotion matches the scene context.
Overall, the work suggests that incorporating emotion-aware control into ISP settings can improve perceived suitability for expressive visual content.

Abstract

In cinematography, visual attributes such as color grading, contrast, and brightness are manipulated to reinforce the emotional narrative of a scene. However, conventional Image Signal Processors (ISPs) prioritize scene fidelity, effectively neglecting this expressive dimension. To bring this cinematic capability to real-time camera pipelines during video capture, we introduce EMOVIS (EMotion-Optimized VISual processing). We establish a systematic mapping between a compact set of high-level emotional states (Happy, Calm, Angry, Sad) and low-level ISP controls - including color saturation, local tone mapping, and sharpness - supported by a calibration user study with statistically significant effects across parameters. We propose a control framework that integrates these emotion-driven adjustments into standard ISP hardware without altering the underlying processing stages. Validation via blind A/B testing shows that viewers prefer the emotion-optimized rendering in 87% of trials when the target emotion matches the scene context, indicating that emotion-aligned ISP control improves perceived suitability for expressive visual content.