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» Mapping low-level image features to semantic concepts
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TRECVID
2007
13 years 8 months ago
Eurecom at TRECVid 2007: Extraction of High-level Features
In this paper we describe our experiments for the high level features extraction task of TRECVid 2007. Our approach is different than previous submissions in that we have impleme...
Rachid Benmokhtar, Eric Galmar, Benoit Huet
GEOINFO
2004
13 years 9 months ago
Mediated Geographic Web Feature Services
Abstract With the proliferation of Geographic Information Systems (GIS) and spatial resources over the Internet, there is an increasing demand for robust geospatial information ser...
Mehdi Essid, Omar Boucelma
ISMIS
1997
Springer
13 years 11 months ago
Knowledge-Based Image Retrieval with Spatial and Temporal Constructs
e about image features can be expressed as a hierarchical structure called a Type Abstraction Hierarchy (TAH). TAHs can be generated automatically by clustering algorithms based on...
Wesley W. Chu, Alfonso F. Cardenas, Ricky K. Taira
IJON
2002
185views more  IJON 2002»
13 years 7 months ago
An image retrieval system by impression words and specific object names - IRIS
Image content analysis has become an important issue in multimedia processing. Region-based image retrieval systems attempt to reduce the gap between high-level semantics and low-l...
Kazuhiro Kuroda, Masafumi Hagiwara
GEOINFORMATICA
1998
125views more  GEOINFORMATICA 1998»
13 years 7 months ago
Computational Perspectives on Map Generalization
ally related entity types, or classes, into higher level, more abstract types, as part of a hierarchical classi®cation scheme. graphy, generalization retains the notion of abstrac...
Robert Weibel, Christopher B. Jones