Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Introduction to MPEG-7: Multimedia Content Description Interface
Introduction to MPEG-7: Multimedia Content Description Interface
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
PRISM: indexing multi-dimensional data in P2P networks using reference vectors
Proceedings of the 13th annual ACM international conference on Multimedia
Seeing and reading red: hue and color-word correlation in images and attendant text on the WWW
MDM '05 Proceedings of the 6th international workshop on Multimedia data mining: mining integrated media and complex data
PARAgrab: a comprehensive architecture for web image management and multimodal querying
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Scalable relevance feedback using click-through data for web image retrieval
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Ontology driven content based image retrieval
Proceedings of the 6th ACM international conference on Image and video retrieval
Large scale semantic structures for image retrieval
Proceedings of the 15th international conference on Multimedia
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Content-based image retrieval by hierarchical linear subspace method
Journal of Intelligent Information Systems
Content-based image retrieval based on rectangular segmentation
SIP'08 Proceedings of the 7th WSEAS International Conference on Signal Processing
Integrating gazetteers and remote sensed imagery
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
ROISeer: Region-Based Image Retrieval by Hierarchical Feature Filtering
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Image retrieval based on multi-texton histogram
Pattern Recognition
A novel active learning approach for SVM based web image retrieval
PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
Subspace tree: high dimensional multimedia indexing with logarithmic temporal complexity
Journal of Intelligent Information Systems
Lost in binarization: query-adaptive ranking for similar image search with compact codes
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Unifying keywords and visual features within one-step search for web image retrieval
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Compact representation for large-scale clustering and similarity search
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Mobile museum guide based on fast SIFT recognition
AMR'08 Proceedings of the 6th international conference on Adaptive Multimedia Retrieval: identifying, Summarizing, and Recommending Image and Music
An image retrieval system based on MPEG-7 and XMLDB query for digital museum
Edutainment'06 Proceedings of the First international conference on Technologies for E-Learning and Digital Entertainment
Content-based image recognition using cellular discrete-event system specifications methodology
Proceedings of the 45th Annual Simulation Symposium
Image search—from thousands to billions in 20 years
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special Sections on the 20th Anniversary of ACM International Conference on Multimedia, Best Papers of ACM Multimedia 2012
International Journal of Multimedia Data Engineering & Management
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Recent advances in processing and networking capabilities of computers have led to an accumulation of immense amounts of multimedia data such as images. One of the largest repositories for such data is the World Wide Web (WWW). We present Cortina, a large-scale image retrieval system for the WWW. It handles over 3 million images to date. The system retrieves images based on visual features and collateral text. We show that a search process which consists of an initial query-by-keyword or query-by-image and followed by relevance feedback on the visual appearance of the results is possible for large-scale data sets. We also show that it is superior to the pure text retrieval commonly used in large-scale systems. Semantic relationships in the data are explored and exploited by data mining, and multiple feature spaces are included in the search process.