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.
Nowadays, due to the explosive growth of mobile devices, social networks and multimedia contents sharing systems have become increasingly popular. However, the characteristics of mobile devices and tags make it difficult to perform an accurate tag-based multimedia retrieval. In this paper, we propose a novel tag recommendation system for multimedia retrieval based on the user trust model which takes...
In this paper, we focus on generating compact but efficient video signatures on mobile devices so that users quickly know whether there are near-duplicates in the social network systems when they upload a video. For this, the proposed method employs the idea of inverted index that is one of the most popular text retrieval methods. Experimental results show that our method can achieve similar results...
Recent years have witnessed an explosion of multimedia contents available online. However, noisy and spam tags provided by spammers dramatically degrade the trust level of Social Networking Service. In this paper, we propose a novel social multimedia tagging system based on a user trust model which exploits the low-level visual features of multimedia contents. Especially, we first analyze the low-level...
Multimedia contents with spam tags degrade the quality of the result of multimedia search. Therefore, the metadata related to the content are needed to improve the search results. This paper proposes an efficient multimedia annotation system that not only describes visual information by MPEG-7 visual descriptors but also semi-automatically generates the semantic information by using LSCOM ontology...
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.