Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices
Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Contents
In this paper, we propose a data-model-hardware tri-design framework for high-throughput, low-cost, and high-accuracy multi-object tracking (MOT) on High-Definition (HD) video stream. First, to enable ultra-light video intelligence, we propose temporal frame-filtering and spatial saliency-focusing approaches to reduce the complexity of massive vide...
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Full title
Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices
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TN_cdi_proquest_journals_2726164705
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2726164705
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2210.08578
