The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
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
The Journal of Machine Learning Research
Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Scalable Recognition with a Vocabulary Tree
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
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
Video search re-ranking via multi-graph propagation
Proceedings of the 15th international conference on Multimedia
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
Descriptive visual words and visual phrases for image applications
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Query aware visual similarity propagation for image search reranking
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Multimedia search with pseudo-relevance feedback
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Building descriptive and discriminative visual codebook for large-scale image applications
Multimedia Tools and Applications
Robust visual reranking via sparsity and ranking constraints
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Ranking content-based social images search results with social tags
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
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Currently Web image search is mostly implemented as text retrieval based on the textual information extracted from the Web page associated with the image. Since the text in the Web page may not match with the image content, image search re-ranking is preferable to refine the text-based search results. In this paper, we propose a novel scheme of latent visual context analysis (LVCA) for image re-ranking. The latent visual context is explored in both latent semantic context and visual link graphs. We argue that the image significance is determined by its contained visual word context, which is analyzed through Latent Semantic Analysis (LSA) and visual word link graph. With the visual word context information, the image context is explored by analysis of image link graph and the significance value for each image can be inferred by VisualRank. In both visual word link graph and image link graph, latent-layer will be incorporated to effectively discover the visual context. We validate our approach on text-query based search results returned by Google Image. Experimental results show improvement of both accuracy and efficiency of our method over the state-of-the-art VisualRank algorithm.