注视即计算

his paper proposes Gazing As Visual Computing (GAVC), a novel paradigm addressing inefficiencies in traditional uniform image processing methods. Inspired by human eye fixation mechanisms, GAVC shifts from global non-selective computation to intention-guided selective processing. Utilizing eye-tracking technology, it establishes a pipeline: Gaze-triggered perception identifies regions of interest through real-time monitoring; localized computing reduces global processing loads; cognitive integration analyzes gaze sequences to model global contexts from local inputs; and closed-loop feedback infers user intent for multimodal responses, creating an assistive loop. GAVC significantly cuts computational costs while improving alignment with user intentions. Applications span intelligent surveillance, autonomous driving, industrial maintenance, and visual impairment assistance. The paper also outlines key research challenges to guide future development and risk mitigation.