@inproceedings{6ec384f5f9a34fe696f4515bd20870c9,
title = "PixSearcher: Searching similar images in large image collections through pixel descriptors",
abstract = "Searching and mining huge image databases has become a daunting task for many application areas such as astronomy, medicine, geology, oceanography, and crime prevention. We introduce a new image indexing and retrieval system, PixSearcher, that computes image descriptors from pixels obtained by thresholding images at different levels. In contrast to raster techniques (which use the entire pixel raster for distance computations), PixSearcher uses a small set of descriptors and consequently can handle large image collections within reasonable time. We use benchmark image databases from different domains to evaluate PixSearcher{\textquoteright}s performance versus well-known image retrieval techniques.",
author = "Dang, {Tuan Nhon} and Leland Wilkinson",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; null ; Conference date: 08-12-2014 Through 10-12-2014",
year = "2014",
doi = "10.1007/978-3-319-14364-4_70",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "726--735",
editor = "George Bebis and Richard Boyle and Bahram Parvin and Darko Koracin and Ryan McMahan and Jason Jerald and Hui Zhang and Drucker, {Steven M.} and Kambhamettu Chandra and Maha, {El Choubassi} and Zhigang Deng and Mark Carlson",
booktitle = "Advances in Visual Computing - 10th International Symposium, ISVC 2014, Proceedings",
}