作业帮英语翻译
来源：学生作业帮助网 编辑：作业帮 时间：2024/04/29 23:27:13
英语翻译
英语翻译
英语翻译
Content-based image retrieval (CBIR), as we see it today, is any technology that in principle helps to organize digital picture archives by their visual content. By this definition, anything ranging from an image similarity function to a robust image annotation engine falls under the purview of CBIR. This characterization of CBIR as a field of study places it at a unique juncture within the scientific community. While we witness continued effort in solving the fundamental open problem of robust image understanding, we also see people from different fields, such as, computer vision, machine learning, information retrieval, human-computer interaction, database systems, Web and data mining, information theory, statistics, and psychology contributing and becoming part of the CBIR community
In this thesis, we survey almost 200 key theoretical and empirical contributions in the current decade related to image retrieval and automatic image annotation, and in the process discuss the spawning of related subfields. We also discuss significant challenges involved in the adaptation of existing image retrieval techniques to build systems that can be useful in the real world.
【英语牛人团】
wenly1997@126.com
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