Feature Detection with Automatic Scale Selection
International Journal of Computer Vision
Efficient similarity search and classification via rank aggregation
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Robust content-based image searches for copyright protection
MMDB '03 Proceedings of the 1st ACM international workshop on Multimedia databases
Approximate searches: k-neighbors + precision
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
An efficient parts-based near-duplicate and sub-image retrieval system
Proceedings of the 12th annual ACM international conference on Multimedia
Robust content-based video copy identification in a large reference database
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Blazingly fast image copyright enforcement
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
New local descriptors based on dissociated dipoles
Proceedings of the 6th ACM international conference on Image and video retrieval
Scene duplicate detection from videos based on trajectories of feature points
Proceedings of the international workshop on Workshop on multimedia information retrieval
Videntifier: identifying pirated videos in real-time
Proceedings of the 15th international conference on Multimedia
A probabilistic framework for fusing frame-based searches within a video copy detection system
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Scene duplicate detection based on the pattern of discontinuities in feature point trajectories
MM '08 Proceedings of the 16th ACM international conference on Multimedia
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MM '08 Proceedings of the 16th ACM international conference on Multimedia
Fast Content-Based Mining of Web2.0 Videos
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
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The VLDB Journal — The International Journal on Very Large Data Bases
MiFor '09 Proceedings of the First ACM workshop on Multimedia in forensics
Evaluation of GIST descriptors for web-scale image search
Proceedings of the ACM International Conference on Image and Video Retrieval
An efficient near-duplicate video shot detection method using shot-based interest points
IEEE Transactions on Multimedia
Locality sensitive hashing: A comparison of hash function types and querying mechanisms
Pattern Recognition Letters
GPU acceleration of Eff2 descriptors using CUDA
Proceedings of the international conference on Multimedia
A large-scale performance study of cluster-based high-dimensional indexing
Proceedings of the international workshop on Very-large-scale multimedia corpus, mining and retrieval
Simple low-dimensional features approximating NCC-based image matching
Pattern Recognition Letters
Comparative study of global color and texture descriptors for web image retrieval
Journal of Visual Communication and Image Representation
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Computer vision researchers have recently proposed several local descriptor schemes. Due to lack of database support, however, these descriptors have only been evaluated using small image collections. Recently, we have developed the PvS-framework, which allows efficient querying of large local descriptor collections. In this paper, we use the PvSframework to study the scalability of local image descriptors. We propose a new local descriptor scheme and compare it to three other well known schemes. Using a collection of almost thirty thousand images, we show that the new scheme gives the best results in almost all cases. We then give two stop rules to reduce query processing time and show that in many cases only a few query descriptors must be processed to find matching images. Finally, we test our descriptors on a collection of over three hundred thousand images, resulting in over 200 million local descriptors, and show that even at such a large scale the results are still of high quality, with no change in query processing time.