MUCKE participation at retrieving diverse social images task of MediaEval 2013
Date
2013
Authors
Advisor
Instructor
Source Title
CEUR Workshop Proceedings
Print ISSN
1613-0073
Electronic ISSN
Publisher
CEUR-WS
Volume
1043
Issue
Pages
Language
English
Type
Conference Paper
Journal Title
Journal ISSN
Volume Title
Abstract
The Mediaeval 2013 Retrieving Diverse Social Image Task addresses the challenge of improving both relevance and diversity of photos in a retrieval task on Flickr. We propose a clustering based technique that exploits both textual and visual information. We introduce a k-Nearest Neighbor (k-NN) inspired re-ranking algorithm that is applied before clustering to clean the dataset. After the clustering step, we exploit social cues to rank clusters by social relevance. From those ranked clusters images are retrieved according to their distance to cluster centroids.
Course
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Book Title
Keywords
Cluster centroids, K-nearest neighbors, Re-ranking, Social cues, Social images, Visual information, Nearest neighbor search