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.
The automatic assessment of photo quality from an aesthetic perspective is a very challenging problem. Most existing research has predominantly focused on the learning of a universal aesthetic model based on hand-crafted visual descriptors . However, this research paradigm can achieve only limited success because 1) such hand-crafted descriptors cannot well preserve abstract aesthetic properties ,...
Social networks have been an important part of human's life. Online photo sharing websites like Flickr allow users to experience others' lifestyles by browsing photos. To gather users who have the same interests, the websites allow users to build their own interest groups and invite other users to join in. A commonly adopted recommendation in social networks such as Sina Microblog uses the social...
Social networks nowadays have become an important form of communication in which users can post their current status or share their lives by mobile phones or the Web. In this paper, we develop an effective and efficient model to estimate continuous tie strength between users for friend recommendation with the heterogeneous data from social media community. We categorize those multimodal data into...
Spatial Pyramid Matching (SPM) has been proven a simple but effective extension to bag-of-visual-words image representation for spatial layout information compensation. SPM describes image in coarse-to-fine scale by partitioning the image into blocks over multiple levels and the features extracted from each block are concatenated into a long vector representation. Based on the assumption that images...
One crucial problem in transductive video annotation is how to estimate the label from the neighboring samples. Existing methods such as graph-based Gaussian random filed only considered the pair-wise similarity and then propagated the labels based on it. In this paper, we propose a new method from the perspective of local learning, which formulate the prediction of labels from the neighbors into...
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.