Approximate nearest neighbors: towards removing the curse of dimensionality
STOC '98 Proceedings of the thirtieth annual ACM symposium on Theory of computing
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 2)
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Duplicate detection in consumer photography and news video
Proceedings of the tenth ACM international conference on Multimedia
Similarity Search in High Dimensions via Hashing
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Content based sub-image retrieval via hierarchical tree matching
MMDB '03 Proceedings of the 1st ACM international workshop on Multimedia databases
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Locality-sensitive hashing scheme based on p-stable distributions
SCG '04 Proceedings of the twentieth annual symposium on Computational geometry
An efficient parts-based near-duplicate and sub-image retrieval system
Proceedings of the 12th annual ACM international conference on Multimedia
Detecting image near-duplicate by stochastic attributed relational graph matching with learning
Proceedings of the 12th annual ACM international conference on Multimedia
The SPIRIT collection: an overview of a large web collection
ACM SIGIR Forum
Enhanced Perceptual Distance Functions and Indexing for Image Replica Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
LSH forest: self-tuning indexes for similarity search
WWW '05 Proceedings of the 14th international conference on World Wide Web
Efficient Image Matching with Distributions of Local Invariant Features
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
An image watermarking algorithm robust to geometric distortion
IWDW'02 Proceedings of the 1st international conference on Digital watermarking
PCA-SIFT: a more distinctive representation for local image descriptors
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
A DWT-DFT composite watermarking scheme robust to both affine transform and JPEG compression
IEEE Transactions on Circuits and Systems for Video Technology
Detection of near-duplicate images for web search
Proceedings of the 6th ACM international conference on Image and video retrieval
Clustering near-duplicate images in large collections
Proceedings of the international workshop on Workshop on multimedia information retrieval
How to Use SIFT Vectors to Analyze an Image with Database Templates
Adaptive Multimedial Retrieval: Retrieval, User, and Semantics
Large scale image copy detection evaluation
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
An efficient near-duplicate video shot detection method using shot-based interest points
IEEE Transactions on Multimedia
LSH-RANSAC: an incremental scheme for scalable localization
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Using redundant bit vectors for near-duplicate image detection
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
Comparative study of features for fingerprint indexing
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Benchmarking stereo data (not the matching algorithms)
Proceedings of the 32nd DAGM conference on Pattern recognition
Multimedia Tools and Applications
Discovery of image versions in large collections
MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
Clustering-Based descriptors for fingerprint indexing and fast retrieval
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
Proceedings of the 20th ACM international conference on Multimedia
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The detection of image versions from large image collections is a formidable task as two images are rarely identical. Geometric variations such as cropping, rotation, and slight photometric alteration are unsuitable for content-based retrieval techniques, whereas digital watermarking techniques have limited application for practical retrieval. Recently, the application of Scale Invariant Feature Transform (SIFT) interest points to this domain have shown high effectiveness, but scalability remains a problem due to the large number of features generated for each image. In this work, we show that for this application domain, the SIFT interest points can be dramatically pruned to effect large reductions in both memory requirements and query run-time, with almost negligible loss in effectiveness. We demonstrate that, unlike using the original SIFT features, the pruned features scales better for collections containing hundreds of thousands of images.