Tag-Based Social Image Retrieval Systems Using Neighbour Voting Algorithm

Tags associated with social images are valuable information source for superior image search and retrieval experiences. Social image retrieval is important for exploiting the increasing amounts of amateur-tagged multimedia such as Flickr images. Intuitively, if different persons label similar images using the same tags, these tags are likely to reflect objective aspects of the visual content. Interpreting the relevance of a user-contributed tag with respect to the visual content of an image is an emerging problem in social image retrieval. An algorithm is proposed that scalably and reliably learns tag relevance by accumulating votes from visually similar neighbours. Treated as tag frequency, learned tag relevance is seamlessly embedded into current tag-based social image retrieval paradigms. Keywordstag relevance, image retrieval, neighbour voting ,user contributed tag, social image tagging.

[1]  Marcel Worring,et al.  Unsupervised multi-feature tag relevance learning for social image retrieval , 2010, CIVR '10.

[2]  Roelof van Zwol,et al.  Classifying tags using open content resources , 2009, WSDM '09.

[3]  Antonietta Gatti,et al.  Color Based Image Retrieval using Amendment of Block Truncation Coding with YCbCr Color Space , 2009 .

[4]  Ivor W. Tsang,et al.  Tag-Based Image Retrieval Improved by Augmented Features and Group-Based Refinement , 2012, IEEE Transactions on Multimedia.

[5]  Roelof van Zwol,et al.  Flickr tag recommendation based on collective knowledge , 2008, WWW.

[6]  Sourav S. Bhowmick,et al.  Image tag clarity: in search of visual-representative tags for social images , 2009, WSM@MM.

[7]  Margaret E. I. Kipp,et al.  Patterns and Inconsistencies in Collaborative Tagging Systems: An Examination of Tagging Practices , 2007, ASIST.

[8]  Marcel Worring,et al.  Learning tag relevance by neighbor voting for social image retrieval , 2008, MIR '08.

[9]  Mor Naaman,et al.  Why we tag: motivations for annotation in mobile and online media , 2007, CHI.

[10]  Alla Zollers,et al.  Emerging Motivations for Tagging: Expression, Performance, and Activism , 2007 .

[11]  Mor Naaman,et al.  HT06, tagging paper, taxonomy, Flickr, academic article, to read , 2006, HYPERTEXT '06.

[12]  Marcel Worring,et al.  Learning Social Tag Relevance by Neighbor Voting , 2009, IEEE Transactions on Multimedia.

[13]  Bernardo A. Huberman,et al.  Usage patterns of collaborative tagging systems , 2006, J. Inf. Sci..

[14]  Wolfgang Nejdl,et al.  Can all tags be used for search? , 2008, CIKM '08.

[15]  Valentin Robu,et al.  The complex dynamics of collaborative tagging , 2007, WWW '07.

[16]  Kilian Q. Weinberger,et al.  Resolving tag ambiguity , 2008, ACM Multimedia.