Making large-scale support vector machine learning practical
Advances in kernel methods
A novel vector-based approach to color image retrieval using a vector angular-based distance measure
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
A New Pattern Representation Scheme Using Data Compression
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modern Information Retrieval
A Process-Oriented Heuristic for Model Selection
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
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
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Image retrieval using color histograms generated by Gauss mixture vector quantization
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
Towards parameter-free data mining
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Minimum Distortion Color Image Retrieval Based on Lloyd-Clustered Gauss Mixtures
DCC '05 Proceedings of the Data Compression Conference
Algorithmic Clustering of Music Based on String Compression
Computer Music Journal
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Scalable Recognition with a Vocabulary Tree
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
VQ Based Image Retrieval Using Color and Position Features
DCC '08 Proceedings of the Data Compression Conference
A Model Conditioned Data Compression Based Similarity Measure
DCC '08 Proceedings of the Data Compression Conference
Dictionary based color image retrieval
Journal of Visual Communication and Image Representation
Compression of individual sequences via variable-rate coding
IEEE Transactions on Information Theory
Shared information and program plagiarism detection
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Dictionary-based color image retrieval using multiset theory
Journal of Visual Communication and Image Representation
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Compression-based similarity measures are effectively employed in applications on diverse data types with a basically parameter-free approach. Nevertheless, there are problems in applying these techniques to medium-to-large datasets which have been seldom addressed. This paper proposes a similarity measure based on compression with dictionaries, the Fast Compression Distance (FCD), which reduces the complexity of these methods, without degradations in performance. On its basis a content-based color image retrieval system is defined, which can be compared to state-of-the-art methods based on invariant color features. Through the FCD a better understanding of compression-based techniques is achieved, by performing experiments on datasets which are larger than the ones analyzed so far in literature.