Shape Discrimination Using Fourier Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special memorial issue for Professor King-Sun Fu
Comparing images using color coherence vectors
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Combining supervised learning with color correlograms for content-based image retrieval
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Feature Detection with Automatic Scale Selection
International Journal of Computer Vision
Query refinement for multimedia similarity retrieval in MARS
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
An Affine Invariant Interest Point Detector
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
MindReader: Querying Databases Through Multiple Examples
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
A Novel Relevance Feedback Method in Content-Based Image Retrieval
ITCC '04 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2 - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Comparison of Affine Region Detectors
International Journal of Computer Vision
Enhancing relevance feedback in image retrieval using unlabeled data
ACM Transactions on Information Systems (TOIS)
Gabor Wavelet Correlogram Algorithm for Image Indexing and Retrieval
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Texture image retrieval using rotated wavelet filters
Pattern Recognition Letters
Automated binary texture feature sets for image retrieval
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04
SVM-based active feedback in image retrieval using clustering and unlabeled data
Pattern Recognition
Query Reformulation for Content Based Multimedia Retrieval in MARS
ICMCS '99 Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02
Texture image retrieval using new rotated complex wavelet filters
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Rotation-Invariant Texture Image Retrieval Using Rotated Complex Wavelet Filters
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Image Processing
The curvelet transform for image denoising
IEEE Transactions on Image Processing
The contourlet transform: an efficient directional multiresolution image representation
IEEE Transactions on Image Processing
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
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This paper presents a relevance feedback (RF) algorithm for scale invariant features extracting form Caltech image database. The RF is a powerful technique to bridging the gap between high-level concepts and low-level features in image retrieval systems. This paper attempts to enhance the performance of RF by exploiting unlabelled images in the database. Each scale invariant feature transform (SIFT) keypoint is considered as the different feature (colour histogram, colour moments, wavelet transform, Gabor transform, etc.). The user labels several images accordingly to whether they are positive (relevant) or negative (irrelevant) examples to a query. Therefore, the relevance feedback process changes labelled and unlabelled images. The query feature and weights are updated as per the keypoint features of positively and negatively labelled images. Furthermore, a new similarity measurement for matching of database images with query is proposed in this paper. The SIFT feature is local feature of an image, which is invariant to image scaling, transformation, rotation and partially invariant to illumination changes, angle of view changes, and noise. The retrieval results show that proposed RF method using SIFT descriptors achieves good effectiveness in content-based image retrieval.