The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Color- and texture-based image segmentation using EM and its application to content-based image retrieval
Abstract
Retrieving images from large and varied collections using image content as a key is a challenging and important problem. In this paper we present a new image representation which provides a transformation from the raw pixel data to a small set of image regions which are coherent in color and texture space. This so-called "blobworld" representation is based on segmentation using the expectation-maximization algorithm on combined color and texture features. The texture features we use for the segmentation arise from a new approach to texture description and scale selection. We describe a system that uses the blobworld representation to retrieve images. An important and unique aspect of the system is that, in the context of similarity-based querying, the user is allowed to view the internal representation of the submitted image and the query results. Similar systems do not offer the user this view into the workings of the system; consequently, the outcome of many queries on these systems can be quite inexplicable, despite the availability of knobs for adjusting the similarity metric.
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Cites
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Cited by
SegSort: Segmentation by Discriminative Sorting of Segments
Hwang, J.-J., Yu, S., Shi, J., Collins, M., Yang, T.-J., Zhang, X., & Chen, L.-C. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00743 · Cited by 124
RRSIS: Referring Remote Sensing Image Segmentation
Yuan, Z., Mou, L., Hua, Y., & Zhu, X. X. (2024) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2024.3369720 · Cited by 81
Metadata
- Authors
- Belongie, S., Carson, C., Greenspan, H., & Malik, J.
- Venue
- Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271)
- Publisher
- Narosa Publishing House
- Published
- 2002-11-27
- Pages
- 675-682
- OpenAlex
- W2171096036
- Cited by
- 474
- References
- 21
- FWCI
- 32.17
- Type
- conference paper
- Language
- en
- Open access
- closed
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