@inproceedings{a46625a455624188947a9ac7de5f8843,
title = "A web image retrieval re-ranking scheme with cross-modal association rules",
abstract = "This paper proposes a new re-ranking scheme and presents experimental performance results for web image retrieval with integrated query. In our previous work, cross-modal association rule was designed for associating one keyword with several visual feature clusters in web image retrieval. Based on the cross-modal association rule, we implement an automatic reranking process online to integrate the keyword and visual features for web image retrieval, and gives experimental test. The experiment is carried out in a web image retrieval system named VAST (VisuAl \& SemanTic image search), and the results show the effectiveness of the re-ranking method scheme.",
author = "Yong Zhu and Naixue Xiong and Jong, \{Hyuk Park\} and Ruhan He",
year = "2008",
doi = "10.1109/UMC.2008.25",
language = "English",
isbn = "9780769534275",
series = "Proceedings - 2008 International Symposium on Ubiquitous Multimedia Computing, UMC 2008",
pages = "83--86",
booktitle = "Proceedings - 2008 International Symposium on Ubiquitous Multimedia Computing, UMC 2008",
note = "2008 International Symposium on Ubiquitous Multimedia Computing, UMC 2008 ; Conference date: 13-10-2008 Through 15-10-2008",
}