Representation of local geometry in the visual system
Biological Cybernetics
Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evaluation of Interest Point Detectors
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Wavelet-Based Salient Points: Applications to Image Retrieval Using Color and Texture Features
VISUAL '00 Proceedings of the 4th International Conference on Advances in Visual Information Systems
Color Indexing Using Wavelet-Based Salient Points
CBAIVL '00 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'00)
A comparison of wavelet transform features for texture image annotation
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
PicToSeek: combining color and shape invariant features for image retrieval
IEEE Transactions on Image Processing
Challenges of Image and Video Retrieval
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
EURASIP Journal on Applied Signal Processing
Salient region filtering for background subtraction
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
Modeling, evaluation and control of a road image processing chain
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Facial-feature detection and localization based on a hierarchical scheme
Information Sciences: an International Journal
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In image retrieval, global features related to color or texture are commonly used to describe the image content. The problem with this approach is that these global features cannot capture all parts of the image having different characteristics. Therefore, local computation of image information is necessary. By using salient points to represent local information, more discriminative features can be computed. In this paper we compare a wavelet-based salient point extraction algorithm with two corner detectors using the criteria: repeatability rate and information content. We also show that extractingc olor and texture information in the locations given by our salient points provides significantly improved results in terms of retrieval accuracy, computational complexity, and storage space of feature vectors as compared to global feature approaches.