The use of MMR, diversity-based reranking for reordering documents and producing summaries
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Video search reranking through random walk over document-level context graph
Proceedings of the 15th international conference on Multimedia
Pagerank for product image search
Proceedings of the 17th international conference on World Wide Web
Flickr tag recommendation based on collective knowledge
Proceedings of the 17th international conference on World Wide Web
Real time google and live image search re-ranking
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Learning tag relevance by neighbor voting for social image retrieval
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Visual diversification of image search results
Proceedings of the 18th international conference on World wide web
Proceedings of the 18th international conference on World wide web
Proceedings of the 18th international conference on World wide web
CrowdReranking: exploring multiple search engines for visual search reranking
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Visual tag dictionary: interpreting tags with visual words
WSMC '09 Proceedings of the 1st workshop on Web-scale multimedia corpus
Beyond distance measurement: constructing neighborhood similarity for video annotation
IEEE Transactions on Multimedia - Special section on communities and media computing
Active reranking for web image search
IEEE Transactions on Image Processing
Accessible image search for colorblindness
ACM Transactions on Intelligent Systems and Technology (TIST)
Which tags are related to visual content?
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Towards a Relevant and Diverse Search of Social Images
IEEE Transactions on Multimedia
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
Typicality-Based Visual Search Reranking
IEEE Transactions on Circuits and Systems for Video Technology
Literature survey of active learning in multimedia annotation and retrieval
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Hi-index | 0.01 |
The explosive growth and wide-spread accessibility of community-contributed multimedia contents on the Internet have led to a surging research activity in social image search. However, the existing tag-based search methods frequently return irrelevant or redundant results. To quickly target user's intention in the result returned by an ambiguous query, we first put forward that the top-ranked search results should meet some criteria, i.e., relevance, typicality and diversity. With the three criteria, a novel ranking scheme for social image search is proposed which incorporates both semantic similarity and visual similarity. The ranking list with relevance, typicality and diversity is returned by optimizing a measure named Average Diverse Precision. The typicality score of samples is estimated via the probability density in the space of visual features. The diversity among the top-ranked list is achieved by fusing both semantic and visual similarities of images. A comprehensive approach for calculating visual similarity is considered by fusing the similarity values according to different features. To further benefit ranking performance, a data-driven method is implemented to refine the tags of social image. Comprehensive experiments demonstrate the effectiveness of the approach proposed in this paper.