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Combining Content with User Preferences for TED Lecture Recommendation

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Topic-Level Extractive Summarization of Lectures and Meetings Using a Snippet Similarity Graph

Andrei Popescu-Belis

In this paper, we present an approach for topic-level video snippet-based extractive summarization, which relies on con tent-based recommendation techniques. We identify topic-level snippets using transcripts of all videos in the dataset and indexed these ...

Idiap2014

Computing text semantic relatedness using the contents and links of a hypertext encyclopedia

Andrei Popescu-Belis, Majid Yazdani

We propose a method for computing semantic relatedness between words or texts by using knowledge from hypertext encyclopedias such as Wikipedia. A network of concepts is built by filtering the encyclopedia's articles, each concept corresponding to an artic ...

Elsevier Science Bv2013

A Social Media Platform in Higher Education

Denis Gillet, Christophe Salzmann, Na Li, Evgeny Bogdanov

This paper reports on the successful use of Graasp, a social media platform, by university students for their collaborative work. Graasp features a number of innovations, such as administrator-free creation of collaborative spaces, context-aware recommenda ...

2012

A Speech-based Just-in-Time Retrieval System using Semantic Search

Philip Neil Garner, Andrei Popescu-Belis, Majid Yazdani

The Automatic Content Linking Device is a just-in-time document retrieval system which monitors an ongoing conversation or a monologue and enriches it with potentially related documents, including multimedia ones, from local repositories or from the Intern ...

2011

Omnidirectional object duplicate detection

Touradj Ebrahimi, Lutz Goldmann, Ivan Ivanov, Péter Vajda

With the technological evolution of digital acquisition and content analysis, millions of images and video sequences are captured every day and used in a large variety of applications. As keyword-based indexing is very time consuming and inefficient due to ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Semantic Vector Machines

Vincent Etter

We first present our work in machine translation, during which we used aligned sentences to train a neural network to embed n-grams of different languages into an d-dimensional space, such that n-grams that are the translation of each other are close with ...

2009

Modeling semantic aspects for cross-media image indexing

Daniel Gatica-Perez, Florent Monay Michaud

To go beyond the query-by-example paradigm in image retrieval, there is a need for semantic indexing of large image collections for intuitive text-based image search. Different models have been proposed to learn the dependencies between the visual content ...

2007

Personalized information access in a wiki using structured tagging

Karl Aberer, Akshay Kiran Singh

Environmental engineers from different organizations work in interdisciplinary projects having the need of information exchange. In particular, a collaborative environment with personalized access to information is needed, which supports strongly varying i ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2007

Modeling semantic aspects for cross-media image indexing

Daniel Gatica-Perez, Florent Monay Michaud

IDIAP2005

Reduced Complexity Replica Detection Systems using Binary Classifiers and R-trees

Touradj Ebrahimi

Replica detection is an important prerequisite for the discovery of copyright infringement and detection of illicit content. For this purpose, content-based image protection can be an efficient alternative to watermarking. Rather than imperceptibly embeddi ...

IEEE2005