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.
In the field of medical endoscopy more and more surgeons are changing over to record and store videos of their endoscopic procedures, such as surgeries and examinations, in long-term video archives. In order to support surgeons in accessing these endoscopic video archives in a contentbased way, we propose a simple yet effective signature-based approach: the Signature Matching Distance based on adaptivebinning...
In this paper, we investigate the effectiveness of various distance-based similarity measures, including the well-known similarity measure Earth Mover's Distance (EMD), and the recently introduced Independent Minimization for Signatures (IM-Sig) on large-scale signature databases. We conduct experiments on eight different databases comprising near-duplicate video clips generated via various edit tasks...
It has been past more than a decade since the Earth Mover's Distance and the Quadratic Form Distance have been proposed as distance-based similarity measures for color-based image similarity. Ever since their utilization in various domains, they have developed into major general-purpose distance functions. In this paper, we subject both dissimilarity measures to a fundamental analytical and empirical...
With the continuous increase of heterogeneous multimedia data, the question of how to access big multimedia data efficiently has become of crucial importance. In order to provide fast access to complex multimedia data, we propose to approximate content-based features of multimedia objects by means of generative models. The proposed gradient-based signatures epitomize a high quality content-based approximation...
The high usage of the Internet, in particular videosharing and social networking websites, have led to enormous amount of video data recently, raising demand on effective and efficient content-based near-duplicate video detection approaches. In this paper, we propose to efficiently search for near-duplicate videos via the utilization of efficient approximation techniques of the well-known effective...
Usability, effectiveness, and efficiency are the fundamental properties of content-based multimedia exploration systems. While the usability of an exploration system is frequently ensured by intuitive and interactive visual interfaces, the effectiveness of the retrieval results and the efficiency of the exploration process are typically obtained by high quality similarity models and fast query evaluation...
Determining similarities among data objects is a core task of content-based multimedia retrieval systems. Approximating data object contents via flexible feature representations, such as feature signatures, multimedia retrieval systems frequently determine similarities among data objects by applying distance functions. In this paper, we compare major state-of-the-art similarity measures applicable...
A frequently encountered query type in multimedia databases is the k-nearest neighbor query which finds the k-nearest neighbors of a given query. To speed up such queries and to meet the user requirements in low response time, approximation techniques play an important role. In this paper, we present an efficient approximation technique applicable to distance measures defined over flexible feature...
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.