智能设备上家庭存储与整理系统图像可分辨性的数值模拟

Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication Pub Date : 2013-09-08 DOI:10.1145/2494091.2494153

R. Fukui, Keisuke Maeda, Masahiko Watanabe, M. Shimosaka, Tomomasa Sato

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引用次数: 0

摘要

在智能设备上的家居存储和整理系统中，经常使用日常用品的缩略图(Tag Image)。标签图像的可分辨性是实现高可用性的重要因素。在本文中，我们试图建立一个数字模型的标签图像的区别。该模型是基于简单线性回归的流行图像特征及其统计量。此外，还开发了基于web的数据输入系统，以便有效地收集培训数据。因此，输入系统获得了大量的数据，并建立了数值模型。所构建的模型具有良好但不完美的性能。

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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Numerical modeling of image discriminability for home storage and organization system on a smart device

In Home storage and organization system on a smart device, thumbnail pictures (Tag Image) of daily-use objects are often used. Discriminability of Tag Image is important to realize superior usability. In this paper, we have tried to construct a numerical model of Tag Image's discriminabillity. The proposed model is based on simple linear regression from popular image features and their statistics. In addition, web-based data input system has also been developed to collect training data efficiently. Consequently, the input system has acquired a substantial number of data and a numerical model has been constructed. The constructed model has substantially good but not perfect performance.

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Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication

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