caa a22 4500 445322446 CHVBK 20180317142708.0 cr unu---uuuuu 170323e20110301xx s 000 0 eng 10.1007/s00530-010-0207-8 doi (NATIONALLICENCE)springer-10.1007/s00530-010-0207-8 Belkhatir Mohammed CNRS, University of Lyon, Lyon, France aut A three-level architecture for bridging the image semantic gap [Elektronische Daten] [Mohammed Belkhatir] Image retrieval systems face the problem of dealing with the different ways to apprehend the content of images and in particular the difficulty to characterize the visual semantics. To address this issue, we examine the use of three abstract levels of representation, namely Signal, Object and Semantic. At the Signal Level, we propose a framework mapping the extracted low-level features to symbolic signal descriptors. The Object Level features a statistical model considering the joint distribution of object concepts (such as mountains, sky ) and the symbolic signal descriptors. At the Semantic Level, signal and object characterizations are coupled within a logic-based framework. The latter is instantiated by a knowledge representation formalism allowing to define an expressive query language consisting of several boolean and quantification operators. Our architecture therefore makes it possible to process topic-based queries. Experimentally, we evaluate our theoretical proposition on a corpus of real-world photographs and the TRECVid corpus. Springer-Verlag, 2010 Multimedia processing nationallicence Semantic gap nationallicence Image indexing and retrieval nationallicence Experimental evaluation nationallicence Multimedia Systems Springer-Verlag 17/2(2011-03-01), 135-148 0942-4962 17:2<135 2011 17 530 https://doi.org/10.1007/s00530-010-0207-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00530-010-0207-8 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Belkhatir Mohammed CNRS, University of Lyon, Lyon, France aut NATIONALLICENCE 773 0- Multimedia Systems Springer-Verlag 17/2(2011-03-01), 135-148 0942-4962 17:2<135 2011 17 530 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer