Abstract—This paper proposes a novel edge computing enabled real-time video analysis system for intelligent visual devices. The proposed system consists of a tracking-assisted object …

May 5, 2024 · This paper proposes an edge computing-based anchor-free key action point network (AKA-Net) with collaborative validation as a video pre-processing technique to remove …

The widespread adoption of IoT edge streaming video analytics (IE-SVA) systems is propelled by the rapid advancements in deep-learning-based computer vision algorithms. These algorithms …

Abstract: This paper proposes a novel edge computing enabled real-time video analysis system for intelligent visual devices. The proposed system consists of a tracking-assisted object …

In this paper we propose Adaptive Model Streaming (AMS), a new approach to real-time video inference on edge devices that offloads knowledge distillation to a remote server …

Jan 1, 2022 · This research explores edge computing to migrate video analysis tasks to edge devices to achieve low latency and high quality of experience. To this end, we explore the …

Oct 24, 2023 · This paper presents a comprehensive review of more than 30 research papers published over the last 6 years on IoT edge streaming video analytics (IE-SVA) systems.

Mar 10, 2025 · IVA systems detect and classify objects within video frames using deep learning models. These models identify objects, localize them with bounding boxes, and classify them …

Real-time data is captured and compressed by IoT devices and transmitted to the edge servers for ROIs (Regions of interest) detection by using a Faster R-CNN model. The cloud server …

We propose an edge computing-based Anchor-Free Key Action Point Network (AKA-Net) for video pre-processing in smart surveillance systems. First, it utilizes a novel point-based …