@inproceedings{6661610e630a4d42a8edb3ffe44b5c1c,
title = "Block-constrained fractal coding scheme for image retrieval",
abstract = "Fractal coding has been proved useful for image compression. In this paper, we present a block-constrained fractal coding scheme and a matching strategy for content-based image retrieval. In our coding scheme, an image is partitioned into non-overlap blocks of a size close to that of an iconic image. Fractal codes are generated for each block independently. In the similarity measure of fractal codes, an improved nona-tree decomposition scheme is adopted to avoid matching the fractal codes globally in order to reduce computational complexity. Our experimental results show that our approach is effective for image retrieval.",
keywords = "Content-based image retrieval, Fractal coding, Image coding, Iterated function systems",
author = "Zhiyong Wang and Zheru Chi and Da Deng and Yinlin Yu",
year = "1999",
month = jan,
day = "1",
language = "English",
isbn = "3540660798",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "673--680",
booktitle = "Visual Information and Information Systems - 3rd International Conference, VISUAL 1999, Proceedings",
address = "Germany",
note = "3rd International Conference on Visual Information Systems, VISUAL 1999 ; Conference date: 02-06-1999 Through 04-06-1999",
}