International Journal of Computer Vision
Multimedia Systems - Special issue on content-based retrieval
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
IRM: integrated region matching for image retrieval
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
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
Image Databases: Search and Retrieval of Digital Imagery
Image Databases: Search and Retrieval of Digital Imagery
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
WMP '00 Proceedings of the Workshop on Multiset Processing: Multiset Processing, Mathematical, Computer Science, and Molecular Computing Points of View
Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Towards parameter-free data mining
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
A Generic Scheme for Color Image Retrieval Based on the Multivariate Wald-Wolfowitz Test
IEEE Transactions on Knowledge and Data Engineering
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Algorithmic Clustering of Music Based on String Compression
Computer Music Journal
Video Classification Using Normalized Information Distance
GMAI '06 Proceedings of the conference on Geometric Modeling and Imaging: New Trends
Spam Filtering Using Statistical Data Compression Models
The Journal of Machine Learning Research
Spam filtering using Kolmogorov complexity analysis
International Journal of Web and Grid Services
Table Compression by Record Intersections
DCC '08 Proceedings of the Data Compression Conference
Dictionary based color image retrieval
Journal of Visual Communication and Image Representation
Video shot boundary detection algorithm using LZW compression technique
SPPRA '08 Proceedings of the Fifth IASTED International Conference on Signal Processing, Pattern Recognition and Applications
Complex wavelet transform with vocabulary tree for content based image retrieval
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Image classification via LZ78 based string kernel: a comparative study
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
A fast compression-based similarity measure with applications to content-based image retrieval
Journal of Visual Communication and Image Representation
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
CLUE: cluster-based retrieval of images by unsupervised learning
IEEE Transactions on Image Processing
The MPEG-7 visual standard for content description-an overview
IEEE Transactions on Circuits and Systems for Video Technology
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Dictionaries have recently attracted a great deal of interest as a new powerful representation scheme that can describe the visual content of an image. Most existing approaches nevertheless, neglect dictionary statistics. In this work, we explore the linguistic and statistical properties of dictionaries in an image retrieval task, representing the dictionary as a multiset. This is extracted by means of the LZW data compressor which encodes the visual patterns of an image. For this reason the image is first quantized and then transformed into a 1D string of characters. Based on the multiset notion we also introduce the Normalized Multiset Distance (NMD), as a new dictionary-based dissimilarity measure which enables the user to retrieve images with similar content to a given query. Experimental results demonstrate a significant improvement in retrieval performance compared to related dictionary-based techniques or to several other image indexing methods that utilize classical low-level image features.