Objects over the World

机译：世界各地的物体

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This paper considers the problem of selecting representative photographs for regions in the worldwide dimensions. Selecting and generating such representative photographs for representative regions from large-scale collections would help us understand about local specific objects with a worldwide perspective. We propose a solution to this problem using a large-scale collection of geo-tagged photographs. Our solution firstly extracts the most relevant images by clustering and evaluation on the visual features. Then, based on geographic information of the images, representative regions are automatically detected. Finally, we select and generate a set of representative images for the representative regions by employing the Probabilistic Latent Semantic Analysis (PLSA) modelling. The results show the ability of our approach to generate region-based representative photographs.

机译：本文考虑了为世界范围内的区域选择代表性照片的问题。从大规模馆藏中为代表性区域选择并生成此类代表性照片，将有助于我们从全球角度了解本地特定对象。我们建议使用大量带有地理标签的照片来解决此问题。我们的解决方案首先通过对视觉特征进行聚类和评估来提取最相关的图像。然后，基于图像的地理信息，自动检测代表性区域。最后，我们通过使用概率潜在语义分析（PLSA）建模为代表区域选择并生成一组代表图像。结果表明，我们的方法能够生成基于区域的代表性照片。

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来源
《Advances in Multimedia Information Processing - PCM 2008》|2008年|296-305|共10页
会议地点 Tainan(CT);eTainan(CT)
作者
Bingyu Qiu; Keiji Yanai;
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作者单位

Department of Computer Science and Technology, Beijing University of Posts and Technology, Beijing, 100876, China;

Department of Computer Science, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu-shi, Tokyo, 182-8585, Japan;

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正文语种 eng
中图分类计算机网络;
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Objects over the World

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