搜索:给图片加上名字

Dhruv Batra, Adarsh Kowdle, Devi Parikh, Tsuhan Chen
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引用次数: 0

摘要

我们经常会遇到一些照片,其中的内容我们已经不记得是谁了。例如,我们可能有一张去看足球比赛的照片,但不记得照片中球队的名字。一种自然的本能可能是用相关的一般术语来查询图像搜索引擎,比如在这个例子中是“足球”或“足球队”。这将导致许多不相关的检索,并且用户必须手动检查检索结果的几个页面,然后才能希望找到包含相同团队球员的其他图像,并查看与这些图像相关的文本以识别团队。随着全局图像匹配技术的日益普及,可以考虑将查询图像与Web上的其他图像进行匹配。然而,这并不允许在匹配时关注感兴趣的对象,并且可能导致背景压倒匹配结果,特别是当感兴趣的对象很小并且可能出现在不同的背景中时,再次导致不相关的检索。我们提出了Cutout-Search,用户使用交互式分割工具从图像中剪切出感兴趣的对象,并使用该Cutout-Query来检索图像。正如我们的实验所示,与全局图像匹配相比,这导致检索更相关的图像,从而在查询图像中更具体地识别感兴趣的对象。
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Cutout-search: Putting a name to the picture
We often come across photographs with content whose identity we can no longer recall. For instance, we may have a picture from a football game we went to, but do not remember the name of the team in the photograph. A natural instinct may be to query an image search engine with related general terms, such as `football' or `football teams' in this case. This would lead to many irrelevant retrievals, and the user would have to manually examine several pages of retrieval results before he can hope to find other images containing the same team players and look at the text associated with these images to identify the team. With the growing popularity of global image matching techniques, one may consider matching the query image to other images on the Web. However, this does not allow for ways to focus on the object-of-interest while matching, and may cause the background to overwhelm the matching results, especially when the object-of-interest is small and can occur in varying backgrounds, again, leading to irrelevant retrievals. We propose Cutout-Search, where a user employs an interactive segmentation tool to cut out the object-of-interest from the image, and use this Cutout-Query to retrieve images. As our experiments show, this leads to retrieval of more relevant images when compared to global image matching leading to more specific identification of the object-of-interest in the query image.
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