This paper analyzes the use of histograms of low-level image features, such as color and luminance, as descriptors for image-retrieval purposes. A novel de"nition of histogram capacity curve taking into account the density distribution of histograms in the corresponding spaces is proposed and used t
DCT histogram optimization for image database retrieval
✍ Scribed by Daidi Zhong; Irek Defée
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 358 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0167-8655
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
There is a growing need for the ability to query image databases based on similarity of image content rather than strict keyword search. As distance computations can be expensive, there is a need for indexing systems and algorithms that can eliminate candidate images without performing distance calc
Recently there has been a considerable interest in active learning from the perspective of optimal experimental design (OED). OED selects the most informative samples to minimize the covariance matrix of the parameters, so that the expected prediction error of the parameters, as well as the model ou
to cope with the voluminous and gigantic image objects. ## Storage and retrieval of visual data play an important role Since little special development is required in organizing in multimedia systems. We have developed a content-based and retrieving image objects in these systems, many image sche
In this paper, we present a robust mixture decomposition technique that automatically finds a compact representation of the data in terms of components. We apply it to the problem of organizing databases for efficient retrieval. The time taken for retrieval is an order of magnitude smaller than that