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
Foundations of Multidimensional and Metric Data Structures (The Morgan Kaufmann Series in Computer Graphics and Geometric Modeling)
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Theory of nearest neighbors indexability
ACM Transactions on Database Systems (TODS)
Finding near neighbors through cluster pruning
Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions
Communications of the ACM - 50th anniversary issue: 1958 - 2008
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Locality sensitive hashing: A comparison of hash function types and querying mechanisms
Pattern Recognition Letters
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
Product Quantization for Nearest Neighbor Search
IEEE Transactions on Pattern Analysis and Machine Intelligence
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The scale of multimedia data collections is expanding at a very fast rate. In order to cope with this growth, the high-dimensional indexing methods used for content-based multimedia retrieval must adapt gracefully to secondary storage. Recent progress in storage technology, however, means that algorithm designers must now cope with a spectrum of secondary storage solutions, ranging from traditional magnetic hard drives to state-of-the-art solid state disks. We study the impact of storage technology on a simple, prototypical high-dimensional indexing method for large scale query processing. We show that while the algorithm implementation deeply impacts the performance of the indexing method, the choice of underlying storage technology is equally important.