基于相似度的图像搜索结果浏览

David Edmundson, G. Schaefer, M. E. Celebi
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引用次数: 3

摘要

在这篇演示论文中,我们展示了一个图像浏览系统,该系统适用于在线可视化和浏览谷歌图像的搜索结果。我们的方法是基于Google Images缩略图的JPEG标题中可用的Huffman表。由于这些特征与图像相适应,我们直接将它们作为图像特征。然后,我们通过投影到二维可视化空间来生成搜索结果的可视化,该可视化空间基于从霍夫曼条目导出的主成分分析。图像被动态地放置到一个网格结构中,并以树状的层次结构组织,以供视觉浏览。由于我们只利用JPEG报头的信息,因此对带宽的要求很低,同时不需要进行显式的特征计算,从而允许交互式浏览在线图像搜索结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Similarity-Based Browsing of Image Search Results
In this demo paper, we present an image browsing system that is suitable for online visualisation and browsing of search results from Google Images. Our approach is based on the Huffman tables available in the JPEG headers of Google Images thumbnails. Since these are adapted to the images, we employ them directly as image features. We then generate a visualisation of the search results by projection onto a 2-dimensional visualisation space based on principal component analysis derived from the Huffman entries. Images are dynamically placed into a grid structure and organised in a tree-like hierarchy for visual browsing. Since we utilise information only from the JPEG header, the requirements in terms of bandwidth are low, while no explicit feature calculation needs to be performed, thus allowing for interactive browsing of online image search results.
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