Google Search by Image API? [英] Google Search by Image API?

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问题描述

在我的工作中,我正在研究一种想法,人们可以使用Google按图片搜索,并使用他们发现的任何名人照片. Google会返回结果,然后在我们的终端上,将有一个专业人员数据库来显示如何获得特定外观.

for my job, I'm looking into an idea in which people would use Google Search by Image and use any celebrity photo they find. Google would return the results and then on our end, a there'd be a database of professionals showing how to get that specific look.

基于用户可以使用任何照片的情况,我认为这样做极不可能.

I'm assuming this is extremely unlikely to do, based on that users could use ANY photo.

因此,有一种方法可以让我将大约100张左右的名人照片与Google Image结果进行比较,然后选择最接近的照片.

So, is there a way that I could have about 100 or so celebrity photos that Google Image results could compare to and then choose the one that is closest.

基本上:

  1. 拖放小甜甜布兰妮的照片
  2. Google使用该图片进行搜索
  3. Google的结果将前100张图像与前100张图像进行比较,然后选择最接近的匹配项.
  4. 用户可以观看有关如何获得小甜甜布兰妮长相的视频.

我不是程序员,但是正在寻找一些API或按图像搜索"扩展名,这对于在我这里工作的程序员来说可能是遥不可及的.是否存在类似的内容(通过图像api搜索)?我所能找到的最好的就是支持页面,几乎没有任何帮助:

I'm not a programmer, but looking for some API or Search by Image extension that could make this remotely possible for the programmers here at my job. Does something like that (a search by image api) exist? The best I could find was just the support page, which is hardly of any help: http://support.google.com/images/bin/answer.py?hl=en&p=searchbyimagepage&answer=1325808

推荐答案

很抱歉,但是Google图片API已已弃用:

Sorry to say, but the Google image API is deprecated:

重要提示:Google Image Search API已于2011年5月26日正式弃用.根据我们的弃用政策,它将继续有效,但是您每天可能发出的请求数量可能会受到限制.

Important: The Google Image Search API has been officially deprecated as of May 26, 2011. It will continue to work as per our deprecation policy, but the number of requests you may make per day may be limited.

请确保还有其他选择( http://www.tineye.com/http://mrisa.mage.me.uk )

Quite sure there are some alternatives (http://www.tineye.com/ and http://mrisa.mage.me.uk)

更新(2013年):现在有 Google自定义搜索,它可以进行图像搜索

Update (2013): There is now Google Custom Search which allows image searches.

这篇关于Google Search by Image API?的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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