The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
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
Hierarchical clustering of WWW image search results using visual, textual and link information
Proceedings of the 12th annual ACM international conference on Multimedia
A Concept-Driven Algorithm for Clustering Search Results
IEEE Intelligent Systems
ImprovingWeb-based Image Search via Content Based Clustering
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
IGroup: web image search results clustering
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Scaling up all pairs similarity search
Proceedings of the 16th international conference on World Wide Web
MapReduce: simplified data processing on large clusters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
The Google Similarity Distance
IEEE Transactions on Knowledge and Data Engineering
Clustering Billions of Images with Large Scale Nearest Neighbor Search
WACV '07 Proceedings of the Eighth IEEE Workshop on Applications of Computer Vision
Canonical image selection from the web
Proceedings of the 6th ACM international conference on Image and video retrieval
Generating diverse and representative image search results for landmarks
Proceedings of the 17th international conference on World Wide Web
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
ContextSeer: context search and recommendation at query time for shared consumer photos
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Finding image exemplars using fast sparse affinity propagation
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Hierarchical clustering-based navigation of image search results
MM '08 Proceedings of the 16th ACM international conference on Multimedia
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual diversification of image search results
Proceedings of the 18th international conference on World wide web
Pairwise document similarity in large collections with MapReduce
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
Annotating images by harnessing worldwide user-tagged photos
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Query expansion for hash-based image object retrieval
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Canonical image selection and efficient image graph construction for large-scale flickr photos
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Ranking canonical views for tourist attractions
Multimedia Tools and Applications
City exploration by use of spatio-temporal analysis and clustering of user contributed photos
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Cluster-based photo browsing and tagging on the go
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
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Current image search system uses paged image list to show search results. However, the problems such as query ambiguity make users hard to find search targets in such image list. In this work, we propose an image search result grouping system that summarizes image search results in semantic and visual groups. We use MapReduce-based image graph construction and image clustering methods to deal with scalability problem on this system. By precomputing image graphs and image clusters at offline stage, this system can be efficient at responding user query. The experiments on two large scale Flickr image datasets are conducted for our system. Compared with using single machine, our graph construction method is 69 times faster. We conduct a comprehensive user study to compare our approach with state-of-the-art baseline methods. We find that our approach generates competent image groups with a 2-100 times speeded-up.