期刊
PATTERN RECOGNITION
卷 35, 期 1, 页码 3-14出版社
ELSEVIER SCI LTD
DOI: 10.1016/S0031-3203(01)00038-3
关键词
CBIR; semantic image retrieval; image understanding; machine learning; review
Research into techniques for the retrieval of images by semantic content is still in its infancy. This paper reviews recent trends in the field, distinguishing four separate lines of activity: automatic scene analysis, model-based and statistical approaches to object classification, and adaptive learning from user feedback. It compares the strengths and weaknesses of model-based and adaptive techniques, and argues that further advances in the field are likely to involve the increasing use of techniques from the field of artificial intelligence. (C) 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据