@inproceedings{310d2897638e445e825683356c872949,
title = "Content-based image retrieval with intensive signature via affine invariant transformation",
abstract = "Web content-based image retrieval is being implemented in many databases, especially in digital libraries. In many specialized fields, professionals often wish the content-based image retrieval system could provide more sensitive shape and color matching to exploit or classify some kinds of species. In our experience, ecosystem synopsis is the obvious illustration. Hence, we offer a series of methods to solve these problems: the defined signature of the object, with object detection/separation and normalization; the shape representations and similarity measurement with affine invariants; the color feature and similarity measurement; and the content-based image retrieval system requirements and design issues.",
keywords = "content-based image retrieval, digital libraries, signature",
author = "Shih, {T. K.} and Deng, {L. Y.} and Wang, {Ching Sheng} and Yeh, {Sheng En}",
note = "Publisher Copyright: {\textcopyright} 2000 IEEE.; International Symposium on Multimedia Software Engineering, MSE 2000 ; Conference date: 11-12-2000 Through 13-12-2000",
year = "2000",
doi = "10.1109/MMSE.2000.897241",
language = "???core.languages.en_GB???",
series = "Proceedings - International Symposium on Multimedia Software Engineering",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "393--400",
booktitle = "Proceedings - International Symposium on Multimedia Software Engineering",
}