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Digital images and video are becoming an integral part of human communications. The ease of capturing and creating digital images has caused most on-line information sources look more " visual ". We use more and more visual content in expressing ideas, reporting, education, and entertainment. With the tremendous amount of visual information becoming(More)
In this paper, we present MediaNet, which is a knowledge representation framework that uses multimedia content for representing semantic and perceptual information. The main components of MediaNet include conceptual entities, which correspond to real world objects, and relationships among concepts. MediaNet allows the concepts and relationships to be(More)
This paper presents new methods for extracting semantic knowledge from collections of annotated images. The proposed methods include novel automatic techniques for extracting semantic concepts by disambiguating the senses of words in the annotations using the lexical database WordNet, and both the images and their annotations, and for discovering semantic(More)
Search engines are the most powerful resources for finding information on the rapidly expanding World Wide Web (WWW). Finding the desired search engines and learning how to use them, however, can be very time consuming. The integration of such search tools enables the users to access information across the world in a transparent and efficient manner. These(More)
This paper presents novel methods for automatically discovering, summarizing and evaluating multimedia knowledge from annotated images in the form of images clusters, word senses and relationships among them, among others. These are essential for applications to intelligently, efficiently and coherently deal with multimedia. The proposed methods include(More)
In this paper, we present the tools specified by the MDS part of the MPEG-7 standard for describing multimedia data such as images and video. In particular, we focus on the description tools that represent the structure and semantics of multimedia data to whose development we have actively contributed. We also describe some of our research prototype systems(More)
OBJECTIVE To assess how data obtained by invasive diagnostic techniques may affect management and outcome of patients with suspected ventilator-associated pneumonia (VAP), in comparison with noninvasive qualitative techniques. DESIGN Prospective study. SETTING An 18-bed medical and surgical intensive care unit. PATIENTS A total of 91 patients(More)
This paper presents exploratory research evaluating a conceptual structure for the description of visual content of images. The structure, which was developed from empirical research in several fields (e. abstract object and scene, respectively). Various experiments are presented, which address the Pyramid's ability to achieve several tasks: (1)(More)