The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Multiresolution histograms and their use for recognition
Abstract
The histogram of image intensities is used extensively for recognition and for retrieval of images and video from visual databases. A single image histogram, however, suffers from the inability to encode spatial image variation. An obvious way to extend this feature is to compute the histograms of multiple resolutions of an image to form a multiresolution histogram. The multiresolution histogram shares many desirable properties with the plain histogram including that they are both fast to compute, space efficient, invariant to rigid motions, and robust to noise. In addition, the multiresolution histogram directly encodes spatial information. We describe a simple yet novel matching algorithm based on the multiresolution histogram that uses the differences between histograms of consecutive image resolutions. We evaluate it against five widely used image features. We show that with our simple feature we achieve or exceed the performance obtained with more complicated features. Further, we show our algorithm to be the most efficient and robust.
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Cites
The Laplacian pyramid as a compact image code
Burt, P., & Adelson, E. (1983) · IEEE Transactions on Communications · doi:10.1109/tcom.1983.1095851 · Cited by 6,077
Koenderink, J. J. (1984) · Biological Cybernetics · doi:10.1007/bf00336961 · Cited by 2,452
Cited by
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
Lazebnik, S., Schmid, C., & Ponce, J. (2006) · 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06) · doi:10.1109/cvpr.2006.68 · Cited by 7,916
Zhang, B., Shan, S., Chen, X., & Gao, W. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2006.884956 · Cited by 580
Content-based image retrieval: approaches and trends of the new age
Datta, R., Li, J., & Wang, J. Z. (2005) · Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval · doi:10.1145/1101826.1101866 · Cited by 435
Metadata
- Authors
- Hadjidemetriou, E., Grossberg, M. D., & Nayar, S. K.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 2004-07
- Volume
- 26
- Issue
- 7
- Pages
- 831-847
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2152100107
- Cited by
- 253
- References
- 2
- FWCI
- 13.25
- Type
- journal article
- Language
- en
- Open access
- closed
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