Annotating flickr photos by manifold-ranking based tag ranking and tag expanding

Authors:
Zheng Liu;Hua Yan
Affiliations:
School of Computer Science and Technology, Shandong Economic University, Ji'nan, Shandong, China;School of Computer Science and Technology, Shandong Economic University, Ji'nan, Shandong, China
Venue:
ICICA'10 Proceedings of the First international conference on Information computing and applications
Year:
2010

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Abstract

This paper presents a novel automatic Flickr photos annotation method by ranking user-supplied tags and expanding the top ranked user-supplied tags. Firstly, user-supplied tags are filtered to obtain initial tags by noisy tags pruning. Secondly, the initial tags are ranked using manifold-ranking algorithm. In manifold-ranking process, the photo to be annotated is divided into several regions, and then these regions are acted as queries to launch the manifold-ranking algorithm which ranks the initial tags according to their relevance to the queries. Next, using Flickr API, top ranked initial annotations are expanded by a weighted voting policy. Finally, we combine top ranked initial tags with expanding tags to construct final annotations. Experiments conducted on Flickr photos demonstrate the effectiveness of the proposed approach.