A Benchmark for Indoor/Outdoor Scene Classification

A Benchmark for Indoor/Outdoor Scene Classification
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室内/室外场景分类的基准

DOI:
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发表时间:
2005
期刊:
International Conference on Advances in Pattern Recognition
影响因子:
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通讯作者:
Sameer Singh
Sameer Singh
中科院分区:
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文献类型:
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作者:
Andrew Payne;Sameer Singh

文献摘要

被引文献

相似文献

图像场景分类是图像处理的一个重要组成部分。室内和室外分类是场景处理的基本部分,因为它是许多语义场景评估方法的起点。已经开发了许多新技术来解决这个问题,但每种技术都依赖于自己的图像数据库,因此降低了对每种方法成功的信心。我们试图在这里看看目前的室内/室外场景分类领域,并开发一个基准模型,用于评估当前的方法。
Image scene classification is an integral part of many aspects of image processing. Indoor and Outdoor classification is a fundamental part of scene processing as it is the starting point of many semantic scene evaluation approaches. Many novel techniques have been developed to tackle this problem, but each technique relies on its own database of images thus reducing the confidence in the success of each method. We attempt here to look at the current field of indoor / outdoor scene classification and develop a benchmark model for evaluating current methods.