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
Discovering Objects and their Localization in Images
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Learning Hierarchical Models of Scenes, Objects, and Parts
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
A Spectral Technique for Correspondence Problems Using Pairwise Constraints
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Learning Object Categories from Google"s Image Search
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Imagerank: spectral techniques for structural analysis of image database
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
International Journal of Computer Vision
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
LexRank: graph-based lexical centrality as salience in text summarization
Journal of Artificial Intelligence Research
Building descriptive and discriminative visual codebook for large-scale image applications
Multimedia Tools and Applications
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Previous web image re-ranking approaches usually construct similarity measure on image level. Considering the diversity of large scale web image database, these approaches ignore the difference of importance between target area and background area in images, thus are not robust to background clutter and may bring some false similarity contribution among images, especially for object query images. We propose ContextRank, re-ranking images by building Markov random process of a surfer jumping across visual words within and among images. For intra-image context, links of visual words are constructed if they are close enough within an image. For inter-image context, links of visual words between image pairs are constructed by incorporating both feature similarity and spatial consistency. Equally speaking, we build a random walk model on visual word level where spatial information is taken into account. The stationary distribution of visual words in each image is derived by calculating the principle eigenvector of link matrix. The score of images are the sum of scores of visual words in each image. Evaluation on object images collected from the Google search engine shows that our approach outperforms VisualRank, and is comparable with the state-of-art. Compared to VisualRank, our method reaches better performance without significant extra computation cost, which is suitable for potential requirement of large scale web image retrieval.