Browsing by Author "Gialampoukidis, Ilias"

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  • A hybrid framework for news clustering based on the DBSCAN-Martingale and LDA
    Gialampoukidis, Ilias; Vrochidis, Stefanos; Kompatsiaris, Ioannis; Wanner, Leo (Springer, 2016)
    Nowadays there is an important need by journalists and media monitoring companies to cluster news in large amounts of web articles, in order to ensure fast access to their topics or events of interest. Our aim in this work ...
  • A Hybrid graph-based and non-linear late fusion approach for multimedia retrieval
    Gialampoukidis, Ilias; Moumtzidou, Anastasia; Liparas, Dimitris; Vrochidis, Stefanos; Kompatsiaris, Ioannis (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Nowadays, multimedia retrieval has become a task of high importance, due to the need for efficient and fast access to very large and heterogeneous multimedia collections. An interesting challenge within the aforementioned ...
  • A Multimedia interactive search engine based on graph-based and non-linear multimodal fusion
    Moumtzidou, Anastasia; Gialampoukidis, Ilias; Mironidis, Theodoros; Liparas, Dimitris; Vrochidis, Stefanos; Kompatsiaris, Ioannis (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    This paper presents an interactive multimedia search engine, which is capable of searching into multimedia collections by fusing textual and visual information. Apart from multimedia search, the engine is able to perform ...
  • A multimodal analytics platform for journalists analyzing large-scale, heterogeneous multilingual, and multimedia content
    Vrochidis, Stefanos; Moumtzidou, Anastasia; Gialampoukidis, Ilias; Liparas, Dimitris; Casamayor, Gerard; Wanner, Leo; Heise, Nicolaus; Wagner, Tilman; Bilous, Andriy; Jamin, Emmanuel; Simeonov, Boyan; Alexiev, Vladimir; Busch, Reinhard; Arapakis, Ioannis; Kompatsiaris, Ioannis (Frontiers, 2018)
    Analysts and journalists face the problem of having to deal with very large, heterogeneous, and multilingual data volumes that need to be analyzed, understood, and aggregated. Automated and simplified editorial and authoring ...
  • A topic detection and visualisation system on social media posts
    Andreadis, Stelios; Gialampoukidis, Ilias; Vrochidis, Stefanos; Kompatsiaris, Ioannis (Springer, 2017)
    Large amounts of social media posts are produced on a daily basis and monitoring all of them is a challenging task. In this direction we demonstrate a topic detection and visualisation tool in Twitter data, which filters ...
  • Crater monitoring through social media observations
    Gialampoukidis, Ilias; Vrochidis, Stefanos; Kompatsiaris, Ioannis (Europlanet, 2017)
    Lunar craters have attracted the attention of not only scientists but also citizens. Modern high-resolution cameras with zoom capabilities allow citizens to capture and share pictures of the Moon in Social Media platforms, ...
  • Fast visual vocabulary construction for image retrieval using skewed-split k-d trees
    Gialampoukidis, Ilias; Vrochidis, Stefanos; Kompatsiaris, Ioannis (Springer, 2016)
    Most of the image retrieval approaches nowadays are based on the Bag-of-Words (BoW) model, which allows for representing an image efficiently and quickly. The efficiency of the BoW model is related to the efficiency of the ...
  • Multimedia retrieval based on non-linear graph-based fusion and partial least squares regression
    Gialampoukidis, Ilias; Moumtzidou, Anastasia; Liparas, Dimitris; Tsikrika, Theodora; Vrochidis, Stefanos; Kompatsiaris, Ioannis (Springer, 2017)
    Heterogeneous sources of information, such as images, videos, text and metadata are often used to describe di erent or complementary views of the same multimedia object, especially in the online news domain and in large ...
  • Query-based topic detection using concepts and named entities
    Gialampoukidis, Ilias; Liparas, Dimitris; Vrochidis, Stefanos; Kompatsiaris, Ioannis (CEUR Workshop Proceedings, 2016)
    In this paper, we present a framework for topic detection in news articles. The framework receives as input the results retrieved from a query-based search and clusters them by topic. To this end, the recently introduced ...
  • Retrieval of multimedia objects by fusing multiple modalities
    Gialampoukidis, Ilias; Moumtzidou, Anastasia; Tsikrika, Theodora; Vrochidis, Stefanos; Kompatsiaris, Ioannis (ACM Association for Computer Machinery, 2016)
    Searching for multimedia objects with heterogeneous modalities is critical for the construction of effective multimedia retrieval systems. Towards this direction, we propose a framework for the multimodal fusion of visual ...
  • Topic detection using the DBSCAN-Martingale and the time operator
    Gialampoukidis, Ilias; Vrochidis, Stefanos; Kompatsiaris, Ioannis; Antoniou, Ioannis (2017)
    Topic detection is usually considered as a decision process implemented in some relevant context, for example clustering. In this case, clusters correspond to topics that should be identifed. Density-based clustering, for ...
  • Unsupervised keyword extraction using the GoW model and centrality scores
    Batziou, Elissavet; Gialampoukidis, Ilias; Vrochidis, Stefanos; Kompatsiaris, Ioannis (Springer, 2017)
    Nowadays, a large amount of text documents are produced on a daily basis, so we need e cient and e ective access to their con- tent. News articles, blogs and technical reports are often lengthy, so the reader needs a quick ...
  • VERGE in VBS 2017
    Moumtzidou, Anastasia; Mironidis, Theodoros; Markatopoulou, Fotini; Andreadis, Stelios; Gialampoukidis, Ilias; Galanopoulos, Damianos; Ioannidou, Anastasia; Vrochidis, Stefanos; Mezaris, Vasileios; Kompatsiaris, Ioannis; Patras, Ioannis (Springer, 2017)
    This paper presents VERGE interactive video retrieval engine, which is capable of browsing and searching into video content. The system integrates several content-based analysis and retrieval modules including concept ...
  • VERGE in VBS 2018
    Moumtzidou, Anastasia; Andreadis, Stelios; Markatopoulou, Fotini; Galanopoulos, Damianos; Gialampoukidis, Ilias; Vrochidis, Stefanos; Mezaris, Vasileios; Kompatsiaris, Ioannis; Patras, Ioannis (Springer, 2018)
    This paper presents VERGE interactive video retrieval engine, which is capable of browsing and searching into video content. The system integrates several content-based analysis and retrieval mod- ules including concept ...