@inproceedings{532be0e6163848f28eb13426b60c484c,
title = "Semantics-based image retrieval by region saliency",
abstract = "We propose a new approach for semantics-based image retrieval. We use color-texture classification to generate the codebook which is used to segment images into regions. The content of a region is characterized by its self-saliency and the lower-level features of the region, including color and texture. The context of regions in an image describes their relationships, which are related to their relative-saliencies. High-level (semantics-based) querying and query-by-example are supported on the basis of the content and context of image regions. The experimental results demonstrate the effectiveness of our approach.",
author = "Wei Wang and Yuqing Song and Aidong Zhang",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2002.; International Conference on Image and Video Retrieval, CIVR 2002 ; Conference date: 18-07-2002 Through 19-07-2002",
year = "2002",
doi = "10.1007/3-540-45479-9\_4",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "29--37",
editor = "Lew, \{Michael S.\} and Nicu Sebe and Eakins, \{John P.\}",
booktitle = "Image and Video Retrieval - International Conference, CIVR 2002, Proceedings",
address = "Germany",
}