Generative object definition and semantic recognition
T Ullrich, DW Fellner - Proceedings of the 4th Eurographics conference …, 2011 - dl.acm.org
''What is the difference between a cup and a door?''These kinds of questions have to be
answered in the context of digital libraries. This semantic information, which describes an
object on a high, abstract level, is needed in order to provide digital library services such as
indexing, markup and retrieval. In this paper we present a new approach to encode and to
extract such semantic information. We use generative modeling techniques to describe a
class of objects: each class is represented by one algorithm; and each object is one set of …
answered in the context of digital libraries. This semantic information, which describes an
object on a high, abstract level, is needed in order to provide digital library services such as
indexing, markup and retrieval. In this paper we present a new approach to encode and to
extract such semantic information. We use generative modeling techniques to describe a
class of objects: each class is represented by one algorithm; and each object is one set of …
[PDF][PDF] Generative Object Definition and Semantic Recognition
Abstract “What is the difference between a cup and a door?” These kinds of questions have
to be answered in the context of digital libraries. This semantic information, which describes
an object on a high, abstract level, is needed in order to provide digital library services such
as indexing, markup and retrieval. In this paper we present a new approach to encode and
to extract such semantic information. We use generative modeling techniques to describe a
class of objects: each class is represented by one algorithm; and each object is one set of …
to be answered in the context of digital libraries. This semantic information, which describes
an object on a high, abstract level, is needed in order to provide digital library services such
as indexing, markup and retrieval. In this paper we present a new approach to encode and
to extract such semantic information. We use generative modeling techniques to describe a
class of objects: each class is represented by one algorithm; and each object is one set of …
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