Exploiting generative models in discriminative classifiers
Proceedings of the 1998 conference on Advances in neural information processing systems II
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Earth Mover's Distance as a Metric for Image Retrieval
International Journal of Computer Vision
Similarity estimation techniques from rounding algorithms
STOC '02 Proceedings of the thiry-fourth annual ACM symposium on Theory of computing
Empirical evaluation of dissimilarity measures for color and texture
Computer Vision and Image Understanding - Special issue on empirical evaluation of computer vision algorithms
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
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
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)
Performance evaluation of local colour invariants
Computer Vision and Image Understanding
Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Improving Bag-of-Features for Large Scale Image Search
International Journal of Computer Vision
Signature Quadratic Form Distance
Proceedings of the ACM International Conference on Image and Video Retrieval
Evaluating Color Descriptors for Object and Scene Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Asymmetric hamming embedding: taking the best of our bits for large scale image search
MM '11 Proceedings of the 19th ACM international conference on Multimedia
A new similarity measure for random signatures: perceptually modified hausdorff distance
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Aggregating Local Image Descriptors into Compact Codes
IEEE Transactions on Pattern Analysis and Machine Intelligence
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We propose a simple yet effective approach to content-based image retrieval: the signature matching distance. While recent approaches to content-based image retrieval utilize the bag-of-visual-words model, where image descriptors are matched through a common visual vocabulary, signature-based approaches use a distance between signatures, i.e. between image-specific bags of locally aggregated descriptors, in order to quantify image dissimilarity. In this paper, we focus on the signature-based approach to content-based image retrieval and propose a novel distance function, the signature matching distance. This distance matches coincident visual properties of images based on their signatures. In particular, by investigating different descriptor matching strategies and their suitability to match signatures, we show that our approach is able to outperform other signature-based approaches to content-based image retrieval. Moreover, in combination with a simple color and texture-based image descriptor, our approach is able to compete with the majority of bag-of-visual-words approaches.