A statistical interpretation of term specificity and its application in retrieval
Document retrieval systems
IR evaluation methods for retrieving highly relevant documents
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Efficient use of local edge histogram descriptor
MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Multi-model similarity propagation and its application for web image retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
ImprovingWeb-based Image Search via Content Based Clustering
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Video search reranking via information bottleneck principle
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
The Google Similarity Distance
IEEE Transactions on Knowledge and Data Engineering
Evaluating bag-of-visual-words representations in scene classification
Proceedings of the international workshop on Workshop on multimedia information retrieval
Video search reranking through random walk over document-level context graph
Proceedings of the 15th international conference on Multimedia
VisualRank: Applying PageRank to Large-Scale Image Search
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian video search reranking
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Multimedia search with pseudo-relevance feedback
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Latent visual context analysis for image re-ranking
Proceedings of the ACM International Conference on Image and Video Retrieval
Improving the image retrieval system by ranking
Proceedings of the Third International Conference on SImilarity Search and APplications
Visual-semantic graphs: using queries to reduce the semantic gap in web image retrieval
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Boosting-based multiple kernel learning for image re-ranking
Proceedings of the international conference on Multimedia
Learning to re-rank: query-dependent image re-ranking using click data
Proceedings of the 20th international conference on World wide web
Latent visual context learning for web image applications
Pattern Recognition
Similarity query postprocessing by ranking
AMR'10 Proceedings of the 8th international conference on Adaptive Multimedia Retrieval: context, exploration, and fusion
Multimedia search reranking: A literature survey
ACM Computing Surveys (CSUR)
Social-oriented visual image search
Computer Vision and Image Understanding
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Image search reranking is an effective approach to refining the text-based image search result. In the reranking process, the estimation of visual similarity is critical to the performance. However, the existing measures, based on global or local features, cannot be adapted to different queries. In this paper, we propose to estimate a query aware image similarity by incorporating the global visual similarity, local visual similarity and visual word co-occurrence into an iterative propagation framework. After the propagation, a query aware image similarity combining the advantages of both global and local similarities is achieved and applied to image search reranking. The experiments on a real-world Web image dataset demonstrate that the proposed query aware similarity outperforms the global, local similarity and their linear combination, for image search reranking.