SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Dimensionality reduction and similarity computation by inner product approximations
Proceedings of the ninth international conference on Information and knowledge management
Content-based query of image databases: inspirations from text retrieval
Pattern Recognition Letters - Selected papers from the 11th scandinavian conference on image analysis
Trading Quality for Time with Nearest Neighbor Search
EDBT '00 Proceedings of the 7th International Conference on Extending Database Technology: Advances in Database Technology
M-tree: An Efficient Access Method for Similarity Search in Metric Spaces
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Region proximity in metric spaces and its use for approximate similarity search
ACM Transactions on Information Systems (TOIS)
Approximate similarity retrieval with M-trees
The VLDB Journal — The International Journal on Very Large Data Bases
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
SIAM Journal on Discrete Mathematics
Dimensionality reduction using magnitude and shape approximations
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Similarity Search: The Metric Space Approach (Advances in Database Systems)
Similarity Search: The Metric Space Approach (Advances in Database Systems)
Effective Proximity Retrieval by Ordering Permutations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lire: lucene image retrieval: an extensible java CBIR library
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Approximate similarity search in metric spaces using inverted files
Proceedings of the 3rd international conference on Scalable information systems
An Efficient Searching Algorithm for Approximate Nearest Neighbor Queries in High Dimensions
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
CoPhIR Image Collection under the Microscope
SISAP '09 Proceedings of the 2009 Second International Workshop on Similarity Search and Applications
Approximate distributed metric-space search
Proceedings of the 9th workshop on Large-scale and distributed informational retrieval
Inverted file-based indexing for efficient multimedia information retrieval in metric spaces
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Image abstraction in crossmedia retrieval for text illustration
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Similarity caching in large-scale image retrieval
Information Processing and Management: an International Journal
I-SEARCH: a unified framework for multimodal search and retrieval
The Future Internet
Modelling efficient novelty-based search result diversification in metric spaces
Journal of Discrete Algorithms
A mediator-based approach for integrating heterogeneous multimedia sources
Multimedia Tools and Applications
Using Lucene to index and search the digitized 1940 US census
Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery
Large-scale crossmedia retrieval for playlist generation and song discovery
Proceedings of the 10th Conference on Open Research Areas in Information Retrieval
A unified framework for multimodal retrieval
Pattern Recognition
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Content-based image retrieval is becoming a popular way for searching digital libraries as the amount of available multimedia data increases. However, the cost of developing from scratch a robust and reliable system with content-based image retrieval facilities for large databases is quite prohibitive. In this paper, we propose to exploit an approach to perform approximate similarity search in metric spaces developed by [3, 6]. The idea at the basis of these techniques is that when two objects are very close one to each other they 'see' the world around them in the same way. Accordingly, we can use a measure of dissimilarity between the views of the world at different objects, in place of the distance function of the underlying metric space. To employ this idea the low level image features (such as colors and textures) are converted into a textual form and are indexed into the inverted index by means of the Lucene search engine library. The conversion of the features in textual form allows us to employ the Lucene's off-the-shelf indexing and searching abilities with a little implementation effort. In this way, we are able to set up a robust information retrieval system that combines full-text search with content-based image retrieval capabilities.