A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Relevant Clouds: Leveraging Relevance Feedback to Build Tag Clouds for Image Search
[chapter]
2013
Lecture Notes in Computer Science
Previous work in the literature has been aimed at exploring tag clouds to improve image search and potentially increase retrieval performance. However, to date none has considered the idea of building tag clouds derived from relevance feedback. We propose a simple approach to such an idea, where the tag cloud gives more importance to the words from the relevant images than the non-relevant ones. A preliminary study with 164 queries inspected by 14 participants over a 30M dataset of
doi:10.1007/978-3-642-40802-1_18
fatcat:jgsop7jvwzg5lf4zo6pyrrc7pm