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.
This paper presents methods to explore and fuse various clothing features for person clustering in family photos. Our approach automatically detects the clothing regions, extracts the global and localized features based on color and texture, and then computes multiple partitions of people based on different features, which are combined into the final consolidated person clustering with a cluster ensemble...
Automatic person clustering, which groups photos based on the individuals appearing in a photo collection, is a key component to facilitate photo management and sharing. Traditionally, person clusters are basically built by detecting faces and matching facial features. But these facial clusters can perform poorly when there are large pose variations and occlusions, which are not uncommon in consumer...
Mining knowledge from large databases has been the focus of many recent studies and applications. Mining association rules in medical images is an important part in domain-specific application image mining because there are several technical aspects which make this problem challenging. In this paper, we firstly propose ROI extraction and clustering algorithm with domain knowledge constraint, then...
With the growing number of digital multimedia libraries, the need to efficiently index multimedia information is increasing, detecting and extracting the text information from images plays an important part in images indexing based on content. In the paper, a new text extraction algorithm under background image based on two-dimensional wavelet transforms is proposed. For the algorithm, firstly the...
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.