@inproceedings{e1bf2c95a4c64657aabab47380d6acb0,
title = "Probabilistic image tagging with tags expanded by text-based search",
abstract = "Automatic image tagging automatically assigns image with semantic keywords called tags, which significantly facilitates image search and organization. Most of present image tagging approaches assign the query image with the tags derived from the visually similar images in the training dataset only. However, their scalabilities and performances are constrained by the limitation of using the training method and the fixed size tag vocabulary. In this paper, we proposed a search based probabilistic image tagging algorithm (CTSTag), in which the initially assigned tags are mined from the content-based search result and expanded from the text-based search results. Experiments on NUS-WIDE dataset show not only the performance of the proposed algorithm but also the advantage of image retrieval using the tagging result.",
keywords = "Image tagging, search based tagging, tag expansion",
author = "Xiaoming Zhang and Zi Huang and Shen, \{Heng Tao\} and Zhoujun Li",
year = "2011",
doi = "10.1007/978-3-642-20149-3\_21",
language = "英语",
isbn = "9783642201486",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 1",
pages = "269--283",
booktitle = "Database Systems for Advanced Applications - 16th International Conference, DASFAA 2011, Proceedings",
address = "德国",
edition = "PART 1",
note = "16th International Conference on Database Systems for Advanced Applications, DASFAA 2011 ; Conference date: 22-04-2011 Through 25-04-2011",
}