Image Mining: Trends and Developments

作者:Wynne Hsu, Mong Li Lee, Ji Zhang

摘要

Advances in image acquisition and storage technology have led to tremendous growth in very large and detailed image databases. These images, if analyzed, can reveal useful information to the human users. Image mining deals with the extraction of implicit knowledge, image data relationship, or other patterns not explicitly stored in the images. Image mining is more than just an extension of data mining to image domain. It is an interdisciplinary endeavor that draws upon expertise in computer vision, image processing, image retrieval, data mining, machine learning, database, and artificial intelligence. In this paper, we will examine the research issues in image mining, current developments in image mining, particularly, image mining frameworks, state-of-the-art techniques and systems. We will also identify some future research directions for image mining.

论文关键词:image mining, image indexing and retrieval, object recognition, image classification, image clustering, association rule mining

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论文官网地址:https://doi.org/10.1023/A:1015508302797