@Inbook{JoostVandeWeijer2013,
author="Joost Van de Weijer
and Fahad Shahbaz Khan
and Marc Masana",
editor="Angel Sappa
and Jordi Vitria",
chapter="Interactive Visual and Semantic Image Retrieval",
title="Multimodal Interaction in Image and Video Applications",
year="2013",
publisher="Springer Berlin Heidelberg",
volume="48",
pages="31--35",
abstract="One direct consequence of recent advances in digital visual data generation and the direct availability of this information through the World-Wide Web, is a urgent demand for efficient image retrieval systems. The objective of image retrieval is to allow users to efficiently browse through this abundance of images. Due to the non-expert nature of the majority of the internet users, such systems should be user friendly, and therefore avoid complex user interfaces. In this chapter we investigate how high-level information provided by recently developed object recognition techniques can improve interactive image retrieval. Wel apply a bagof- word based image representation method to automatically classify images in a number of categories. These additional labels are then applied to improve the image retrieval system. Next to these high-level semantic labels, we also apply a low-level image description to describe the composition and color scheme of the scene. Both descriptions are incorporated in a user feedback image retrieval setting. The main objective is to show that automatic labeling of images with semantic labels can improve image retrieval results.",
optnote="CIC; 605.203; 600.048",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2284), last updated on Fri, 04 Feb 2022 13:07:50 +0100",
isbn="978-3-642-35931-6",
issn="1868-4394",
doi="10.1007/978-3-642-35932-3_3",
file=":http://refbase.cvc.uab.es/files/WKC2013.pdf:PDF"
}