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2 Papers

SCENE CATEGORIZATION USING LOW-LEVEL VISUAL FEATURES

Topics: Recognition and Indexing; Object, Event and Scene Recognition, Retrieval and Indexing; Optical Color Pattern Recognition; Pattern Recognition in Image Understanding; Visual Learning

Authors: Ioannis Pratikakis , Basilios Gatos and Stelios C.A. Thomopoulos

Affiliation: Institute of Informatics and Telecommunications, National Centre for Scientific Research “Demokritos”,, Greece

Digital Object Identifier: 10.5220/0001374901550160

Proceedings of VISAPP 2006/VISIGRAPP, ISBN: 972-8865-40-6

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In this paper, we have built two binary classifiers for indoor/outdoor and city/landscape categories, respectively. The proposed classifiers consist of robust visual feature extraction that feeds a support vector classification. In the case of indoor/outdoor classification, we combine color and texture information using the first three moments of RGB color space components and the low order statistics of the energy wavelet coefficients from a two-level wavelet pyramid. In the case of city/landscape classification, we combine the first three moments of L*a*b color space components and structural information (line segment orientation). Experimental results show that a high classification accuracy is achieved.
Collapse Button Related Ontology Subjects/Areas/Topics (13)
Artificial Intelligence

Human-Computer Interaction

Pattern Recognition

Biomedical Engineering

Methodologies and Methods

Physiological Computing Systems

Biomedical Signal Processing

Neurocomputing

Sensor Networks

Data Manipulation

Neurotechnology, Electronics and Informatics

Soft Computing
Health Engineering and Technology Applications

An Introduction to the Summarization of Evolving Events: Linear and Non-linear Evolution

Authors: Stergos D. Afantenos 1 , Konstantina Liontou 2 , Maria Salapata 2 and Vangelis Karkaletsis 1

Affiliations: 1 Institute of Informatics and Telecommunications, National Center for Scientific Research (NCSR) “Demokritos”, Greece , 2 Institute of Language and Speech Processing, National Center for Scientific Research (NCSR) “Demokritos”, Greece

Digital Object Identifier: 10.5220/0002564200910099

Proceedings of NLUCS 2005/ICEIS, ISBN: 972-8865-23-6X

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This paper examines the summarization of events that evolve through time. It discusses different types of evolution taking into account the time in which the incidents of an event are happening and the different sources reporting on the specific event. It proposes an approach for multi-document summarization which employs “messages” for representing the incidents of an event and cross-document relations that hold between messages according to certain conditions. The paper also outlines the current version of the summarization system we are implementing to realize this approach.

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