CVDCJun 12, 2015

CloudCV: Large Scale Distributed Computer Vision as a Cloud Service

arXiv:1506.04130v349 citations
Originality Synthesis-oriented
AI Analysis

This system addresses the problem of logistical and infrastructural barriers for researchers and practitioners in computer vision, though it is incremental as it builds on existing distributed computing and vision methods.

The authors tackled the challenge of scaling computer vision algorithms to large datasets by developing CloudCV, a cloud service that provides access to state-of-the-art distributed computer vision algorithms through a web interface and APIs, aiming to democratize access without requiring expertise in multiple fields.

We are witnessing a proliferation of massive visual data. Unfortunately scaling existing computer vision algorithms to large datasets leaves researchers repeatedly solving the same algorithmic, logistical, and infrastructural problems. Our goal is to democratize computer vision; one should not have to be a computer vision, big data and distributed computing expert to have access to state-of-the-art distributed computer vision algorithms. We present CloudCV, a comprehensive system to provide access to state-of-the-art distributed computer vision algorithms as a cloud service through a Web Interface and APIs.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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