@inproceedings{ca755c6ace6a4210b4adfbcb3ac3a5cf,
title = "Exploiting term co-occurrence for enhancing automated image annotation",
abstract = "This paper describes an application of statistical co-occurrence techniques that built on top of a probabilistic image annotation framework is able to increase the precision of an image annotation system. We observe that probabilistic image analysis by itself is not enough to describe the rich semantics of an image. Our hypothesis is that more accurate annotations can be produced by introducing additional knowledge in the form of statistical co-occurrence of terms. This is provided by the context of images that otherwise independent keyword generation would miss. We applied our algorithm to the dataset provided by ImageCLEF 2008 for the Visual Concept Detection Task (VCDT). Our algorithm not only obtained better results but also it appeared in the top quartile of all methods submitted in ImageCLEF 2008.",
keywords = "Automated image annotation, Image analysis, Semantic similarity, Statistical co-occurrence",
author = "Ainhoa Llorente and Simon Overell and Haiming Liu and Rui Hu and Adam Rae and Jianhan Zhu and Dawei Song and Stefan R{\"u}ger",
year = "2009",
doi = "10.1007/978-3-642-04447-2\_79",
language = "English",
isbn = "3642044468",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "632--639",
booktitle = "Evaluating Systems for Multilingual and Multimodal Information Access - 9th Workshop of the Cross-Language Evaluation Forum, CLEF 2008, Revised Selected Papers",
address = "Germany",
note = "9th Workshop of the Cross-Language Evaluation Forum, CLEF 2008 ; Conference date: 17-09-2008 Through 19-09-2008",
}