Efficient and effective querying by image content
Journal of Intelligent Information Systems - Special issue: advances in visual information management systems
Supporting similarity queries in MARS
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
NeTra: a toolbox for navigating large image databases
Multimedia Systems - Special issue on video content based retrieval
Multidimensional binary search trees used for associative searching
Communications of the ACM
PicSOM—content-based image retrieval with self-organizing maps
Pattern Recognition Letters - Selected papers from the 11th scandinavian conference on image analysis
R-trees: a dynamic index structure for spatial searching
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
MPEG-7: Overview of MPEG-7 Description Tools, Part 2
IEEE MultiMedia
Similarity Indexing with the SS-tree
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
Efficient Nearest-Neighbour Searches Using Weighted Euclidean Metric
BNCOD 16 Proceedings of the 16th British National Conferenc on Databases: Advances in Databases
Long-term learning of semantic grouping from relevance-feedback
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
A novel log-based relevance feedback technique in content-based image retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Using high dimensional indexes to support relevance feedback based interactive images retrieval
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Efficient search with changing similarity measures on large multimedia datasets
MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
A Bayesian Approach to Hybrid Image Retrieval
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Interpretation of metaphors with perceptual features using WordNet
EPCE'11 Proceedings of the 9th international conference on Engineering psychology and cognitive ergonomics
Hi-index | 0.00 |
The problem of search and retrieval of images using relevance feedback has attracted tremendous attention in recent years from the research community. A real-world-deployable interactive image retrieval system must (1) be accurate, (2) require minimal user-interaction, (3) be efficient, (4) be scalable to large collections (millions) of images, and (5) support multi-user sessions. For good accuracy, we need effective methods for learning the relevance of image features based on user feedback, both within a user-session and across sessions. Efficiency and scalability require a good index structure for retrieving results. The index structure must allow for the relevance of image features to continually change with fresh queries and user-feedback. The state-of-the-art methods available today each address only a subset of these issues. In this paper, we build a complete system FISH - Fast Image Search in Huge databases. In FISH, we integrate selected techniques available in the literature, while adding a few of our own. We perform extensive experiments on real datasets to demonstrate the accuracy, efficiency and scalability of FISH. Our results show that the system can easily scale to millions of images while maintaining interactive response time.