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Mondrian system boosts on-device video analytics with Compressive Packed Inference

By PulseAugur Editorial · [1 sources] ·

Researchers have developed Mondrian, a new edge system designed for high-performance object detection in high-resolution video streams. The system employs a novel Compressive Packed Inference technique to reduce per-pixel processing costs by selectively processing necessary pixels and maximizing parallelism. Mondrian dynamically extracts and shrinks Regions of Interest (ROIs), then intelligently combines them to optimize the utilization of graphics processing units (GPUs) and similar accelerators. Evaluations show Mondrian achieves 15.0-19.7% higher accuracy and up to 6.65x higher throughput compared to existing methods for processing 1080p video. AI

IMPACT This system could enable more efficient and powerful on-device video analysis for applications like autonomous systems and surveillance.

RANK_REASON This is a research paper detailing a new system and technique for video analytics. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Mondrian system boosts on-device video analytics with Compressive Packed Inference

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This is a research paper detailing a new system and technique for video analytics. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Changmin Jeon, Seonjun Kim, Juheon Yi, Youngki Lee ·

    Mondrian: On-Device High-Performance Video Analytics with Compressive Packed Inference

    arXiv:2403.07598v2 Announce Type: replace Abstract: In this paper, we present Mondrian, an edge system that enables high-performance object detection on high-resolution video streams. Many lightweight models and system optimization techniques have been proposed for resource-const…

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