Breaking the accuracy-resource dilemma: a lightweight adaptive video inference enhancement

• URL: http://arxiv.org/abs/2601.14568v1
• Date: Wed, 21 Jan 2026 01:09:38 GMT
• Title: Breaking the accuracy-resource dilemma: a lightweight adaptive video inference enhancement
• Abstract summary: A fuzzy controller (FC-r) is developed based on key system parameters and inference-related metrics.<n>A VI enhancement framework is proposed, where video correlation of targets across adjacent video frames is leveraged.<n> Experimental results demonstrate that the proposed method effectively achieves a balance between resource utilization and inference performance.
• Score: 36.625148489044925
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Existing video inference (VI) enhancement methods typically aim to improve performance by scaling up model sizes and employing sophisticated network architectures. While these approaches demonstrated state-of-the-art performance, they often overlooked the trade-off of resource efficiency and inference effectiveness, leading to inefficient resource utilization and suboptimal inference performance. To address this problem, a fuzzy controller (FC-r) is developed based on key system parameters and inference-related metrics. Guided by the FC-r, a VI enhancement framework is proposed, where the spatiotemporal correlation of targets across adjacent video frames is leveraged. Given the real-time resource conditions of the target device, the framework can dynamically switch between models of varying scales during VI. Experimental results demonstrate that the proposed method effectively achieves a balance between resource utilization and inference performance.

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