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Papers

Large-scale image analysis using docker sandboxing

2017-03-07 · B Sengupta, E Vazquez, M Sasdelli, Y Qian, M Peniak, L Netherton, G Delfino

With the advent of specialized hardware such as Graphics Processing Units (GPUs), large scale image localization, classification and retrieval have seen increased prevalence. Designing scalable software architecture that co-evolves with such specialized hardware is a challenge in the commercial setting. In this paper, we describe one such architecture (\textit{Cortexica}) that leverages scalability of GPUs and sandboxing offered by docker containers. This allows for the flexibility of mixing different computer architectures as well as computational algorithms with the security of a trusted environment. We illustrate the utility of this framework in a commercial setting i.e., searching for multiple products in an image by combining image localisation and retrieval.

📄 PDF Abstract BibTeX arXiv:1703.02898

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General ClassificationRetrieval

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