Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Beyond independent relevance: methods and evaluation metrics for subtopic retrieval
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
The Journal of Machine Learning Research
Learning Object Categories from Google"s Image Search
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
ImprovingWeb-based Image Search via Content Based Clustering
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Diversifying the image retrieval results
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Google news personalization: scalable online collaborative filtering
Proceedings of the 16th international conference on World Wide Web
Video search reranking through random walk over document-level context graph
Proceedings of the 15th international conference on Multimedia
Modeling Semantic Aspects for Cross-Media Image Indexing
IEEE Transactions on Pattern Analysis and Machine Intelligence
VisualRank: Applying PageRank to Large-Scale Image Search
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance evaluation of local colour invariants
Computer Vision and Image Understanding
Mining the web for visual concepts
Proceedings of the 9th International Workshop on Multimedia Data Mining: held in conjunction with the ACM SIGKDD 2008
Visual diversification of image search results
Proceedings of the 18th international conference on World wide web
Lightweight web image reranking
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Jointly optimising relevance and diversity in image retrieval
Proceedings of the ACM International Conference on Image and Video Retrieval
Distributed Algorithms for Topic Models
The Journal of Machine Learning Research
Building a diversity featured search system by fusing existing tools
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Diversity in photo retrieval: overview of the ImageCLEFPhoto task 2009
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
IEEE Transactions on Pattern Analysis and Machine Intelligence
Overview of the MPEG-7 standard
IEEE Transactions on Circuits and Systems for Video Technology
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Although web-scale image search engines such as Google and Bing can provide rough sets of image data, results are noisy and lacking visual diversity. In this paper, our objective is to re-rank initial search results from these image search engines to improve user experience. We present a hybrid approach to capture the benefits of the reciprocal election algorithm proposed by R. van Leuken et al. and the greedy search algorithm proposed by T. Deselaers et al. At first, each image casts votes for other images according to visual similarity. The images with the top highest votes are selected as candidate representatives. Then a bounded greedy selection algorithm is employed to select the most novel and relevant one as the cluster representative. We fuse different visual features to calculate image similarity including color, texture, and especially topic content features. We present an evaluation of pLSA and LDA as dimension reduction approach for the task of web image re-ranking and discuss the benefits of integrating topic distribution features. Extensive experiments demonstrate that using our approach to re-rank an initially returned set of images from Google and Bing search engines is a practical way to improve the user satisfaction in terms of cluster recall, F1 score and the harmonic mean of NDCG and cluster recall.