The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
With the proliferation of handheld devices, the demand of multimedia information retrieval on mobile devices has attracted more attention. A relevance feedback information retrieval process usually includes several rounds of query refinement. Each round incurs exchange of tens of images between the mobile device and the server. With limited wireless bandwidth, this process can incur substantial delay...
An important problem in color based image retrieval is the lack of efficient way to represent both the color and the spatial structure information with single descriptor. To solve this problem, a new dominant color structure descriptor (DCSD), is proposed. The descriptor combines the compactness of dominant color descriptor (DCD) and the accuracy of color structure descriptor (CSD) to enhance the...
This paper introduces a flexible learning approach for image retrieval with relevance feedback. A semantic repository is constructed offline by applying the k-nearest-neighbor-based relevance learning on both positive and negative session-term feedback. This repository semantically relates each database image to a set of training images chosen from all semantic categories. The query semantic feature...
Today's medical institutions produce enormous amounts of data on patients, including multimedia data, which is increasingly produced in digital form. These data in their clinical context contain much information and experience that is currently not being used up to its full potential. Through the digital form the data has become accessible for automatic analysis and treatment for a variety of applications...
Semantic gap is the main problem in current content-based image retrieval. This paper proposes an approach which aims to learn semantic concepts from visual features. Each concept is modeled as a posterior pseudo-probability function, and the function parameters are trained from the positive and negative image examples of the concept using the max-min posterior pseudo-probabilities criterion. According...
In this paper, a novel low-level feature, named texture moment, is designed to characterize the texture properties of grayscale images for content-based image retrieval. At first, seven attributes are defined for each pixel by applying seven orthogonal templates on its eight neighborhoods. The templates are derived from local Fourier transform. Then, the mean and variation of those seven attributes...
We propose a neural network based method for organizing images for content-based image retrieval. We use spectral histogram features, the histograms of filtered images to capture the spatial relationship among pixels as well as global appearance of images. We then find the optimal combination of spectral histogram features using optimal factor analysis to reduce the dimension of features and maximize...
In content-based image retrieval, the representation of local properties in an image is one of the most active research issues. This paper proposes a salient region detector based on wavelet transform. The detector can extract the visually meaningful regions on an image and reflect local characteristics. An annular segmentation algorithm based on the distribution of salient regions is designed. It...
Active learning is a promising tool to improve the performance of content-based image retrieval (CBIR). As a commonly used active learning approach, angle-diversity provides the most informative images to user for feedback. However, it suffers from the problem that the query concept is diverse and the numbers of the positive and the negative images are imbalanced. As a consequence, the positive samples...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.