从单个查询中对多个对象进行可视化搜索

2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin) Pub Date : 2016-09-01 DOI:10.1109/ICCE-Berlin.2016.7684712

Marco Paracchini, Marco Marcon, Emanuele Plebani, D. Pau

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引用次数: 2

摘要

每天有数以亿计的图片上传到云端。能够从如此庞大的数据库中有效地分析和提取信息的创新应用程序现在比以往任何时候都更需要。Visual Search是一种能够检索查询图像的信息并将其与大型图像数据库进行比较的应用程序。本文提出了一种能够检索单个查询图像中描述的多个对象的可视化搜索管道实现。在真实数据集和合成数据集上均显示了定量和定性精度结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Visual Search of multiple objects from a single query

Hundreds of millions of images are uploaded to the cloud every day. Innovative applications able to analyze and extract efficiently information from such a big database are needed nowadays more than ever. Visual Search is an application able to retrieve information of a query image comparing it against a large image database. In this paper a Visual Search pipeline implementation is presented able to retrieve multiple objects depicted in a single query image. Quantitative and qualitative precision results are shown on both real and synthetic datasets.

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来源期刊

2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)

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