@article{108464d07e65494694454bd0c3ff53ec,
title = "Perceptually based techniques for image segmentation and semantic classification",
abstract = "We present a new approach for semantic image analysis that combines knowledge of human perception with an understanding of signal characteristics to segment natural scenes into perceptually uniform regions, and then uses the region statistics to extract semantic information. Applications include content-based image retrieval and region of interest extraction for efficient compression/transmission over heterogeneous networks.",
author = "Pappas, {Thrasyvoulos N.} and Junqing Chen and Dejan Depalov",
note = "Funding Information: This work was supported by the National Science Foundation (NSF) under Grant no. CCR-0209006, and the Defense Intelligence Agency (DIA) under DIA/NSF Grant no. IIS-0515929. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF or DIA. This work was also supported by the Motorola Center for Telecommunications at Northwestern University. Special thanks to Aleksandra Mojsilovic and Bernice Rogowitz of IBM T. J. Watson Research Center and Dongge Li and Bhavan Gandhi of Motorola Labs for many discussions and suggestions on various aspects of the work that led to this article.",
year = "2007",
month = jan,
doi = "10.1109/MCOM.2007.284537",
language = "English (US)",
volume = "45",
pages = "44--51",
journal = "IEEE Communications Society Magazine",
issn = "0163-6804",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "1",
}