英语高手帮忙翻译，谢谢了！

来源：百度知道 编辑：UC知道 时间：2024/05/20 03:21:57
We assume that the goal of content based image retrieval is to find images which are both semantically and visually
relevant to users based on image descriptors. These descriptors are often provided by an example image--the query by
example paradigm. In this work we develop a very simple method for evaluating such systems based on large collections
of images with associated text. Examples of such collections include the Corel image collection, annotated museum
collections, news photos with captions, and web images with associated text based on heuristic reasoning on the
structure of typical web pages (such as used by Google(tm)). The advantage of using such data is that it is plentiful, and
the method we propose can be automatically applied to hundreds of thousands of queries. However, it is critical that such
a method be verified against human usage, and to do this we evaluate over 6000 query/result pairs. Our results strongly
suggest that at le

We assume that the goal of content based image retrieval is to find images which are both semantically and visually
relevant to users based on image descriptors. These descriptors are often provided by an example image--the query by
example paradigm. In this work we develop a very simple method for evaluating such systems based on large collections
of images with associated text. Examples of such collections include the Corel image collection, annotated museum
collections, news photos with captions, and web images with associated text based on heuristic reasoning on the
structure of typical web pages (such as used by Google(tm)). The advantage of using such data is that it is plentiful, and
the method we propose can be automatically applied to hundreds of thousands of queries. However, it is critical that such
a method be verified against human usage, and to do this we evaluate over 6000 query/result pairs. Our results strongly
suggest