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Published in:
2010 | OriginalPaper | Chapter
Annotating Flickr Photos by Manifold-Ranking Based Tag Ranking and Tag Expanding
Authors : Zheng Liu, Hua Yan
Published in: Information Computing and Applications
Publisher: Springer Berlin Heidelberg
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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.