@inproceedings{a783c851a193404695d5a6ceec16ab53,
title = "Query by concept - An image retrieval method for landscape images",
abstract = "QBE was the most popular manner of CBIR systems. But, {"}Semantic Gap{"} is an obstacle to make QBE more efficient. The contribution of this paper was that a framework of QBC (query by concept) was proposed to minimize the effect of {"}semantic gap{"}. Also, a method was proposed to obtain concepts. An attempt was made with landscape images with {"}blue sky{"} and {"}green grass{"}. Experiment data were about 7000 images collected from Corel database and Internet. The experimental results demonstrated the method was feasible, effective and robust.",
keywords = "CBIR, Landscape, QBC(query by concept), QBE",
author = "Yaowei Wang and Limin Su and Senlin Luo",
year = "2008",
doi = "10.1049/cp:20080362",
language = "English",
isbn = "9780863419140",
series = "IET Conference Publications",
number = "543 CP",
pages = "484--487",
booktitle = "5th International Conference on Visual Information Engineering, VIE 2008",
edition = "543 CP",
note = "5th International Conference on Visual Information Engineering, VIE 2008 ; Conference date: 29-07-2008 Through 01-08-2008",
}