Boundary Detection by Constrained Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Earth Mover's Distance as a Metric for Image Retrieval
International Journal of Computer Vision
SIGIR '80 Proceedings of the 3rd annual ACM conference on Research and development in information retrieval
Distribution-based Image Similarity
State-of-the-Art in Content-Based Image and Video Retrieval [Dagstuhl Seminar, 5-10 December 1999]
Non-parametric Similarity Measures for Unsupervised Texture Segmentation and Image Retrieval
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Empirical Evaluation of Dissimilarity Measures for Color and Texture
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Evaluation of key frame-based retrieval techniques for video
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
Fractional distance measures for content-based image retrieval
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
An investigation into the relationship between semantic and content based similarity using LIDC
Proceedings of the international conference on Multimedia information retrieval
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Novel local features with hybrid sampling technique for image retrieval
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Content-based retrieval of retinal images for maculopathy
Proceedings of the 1st ACM International Health Informatics Symposium
Topological comparisons of proximity measures
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
How to quantitatively compare data dissimilarities for unsupervised machine learning?
ANNPR'12 Proceedings of the 5th INNS IAPR TC 3 GIRPR conference on Artificial Neural Networks in Pattern Recognition
Area under the distance threshold curve as an evaluation measure for probabilistic classifiers
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
Shape classification by manifold learning in multiple observation spaces
Information Sciences: an International Journal
PRoSPer: Perceptual similarity queries in medical CBIR systems through user profiles
Computers in Biology and Medicine
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Dissimilarity measurement plays a crucial role in content-based image retrieval, where data objects and queries are represented as vectors in high-dimensional content feature spaces. Given the large number of dissimilarity measures that exist in many fields, a crucial research question arises: Is there a dependency, if yes, what is the dependency, of a dissimilarity measure's retrieval performance, on different feature spaces? In this paper, we summarize fourteen core dissimilarity measures and classify them into three categories. A systematic performance comparison is carried out to test the effectiveness of these dissimilarity measures with six different feature spaces and some of their combinations on the Corel image collection. From our experimental results, we have drawn a number of observations and insights on dissimilarity measurement in content-based image retrieval, which will lay a foundation for developing more effective image search technologies.