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Dmitry Sokolov, and Dimitri Plemenos, High level methods for scene exploration. JVRB - Journal of Virtual Reality and Broadcasting, 3(2006), no. 12. (urn:nbn:de:0009-6-11144)

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%0 Journal Article
%T High level methods for scene exploration
%A Sokolov, Dmitry
%A Plemenos, Dimitri
%J JVRB - Journal of Virtual Reality and Broadcasting
%D 2007
%V 3(2006)
%N 12
%@ 1860-2037
%F sokolov2007
%X Virtual worlds exploration techniques are used in a wide variety of domains — from graph drawing to robot motion. This paper is dedicated to virtual world exploration techniques which have to help a human being to understand a 3D scene. An improved method of viewpoint quality estimation is presented in the paper, together with a new off-line method for automatic 3D scene exploration, based on a virtual camera. The automatic exploration method is working in two steps. In the first step, a set of “good” viewpoints is computed. The second step uses this set of points of view to compute a camera path around the scene. Finally, we define a notion of semantic distance between objects of the scene to improve the approach.
%L 004
%K Scene understanding
%K automatic virtual camera
%K good point of view
%R 10.20385/1860-2037/3.2006.12
%U http://nbn-resolving.de/urn:nbn:de:0009-6-11144
%U http://dx.doi.org/10.20385/1860-2037/3.2006.12
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Bibtex

@Article{sokolov2007,
  author = 	"Sokolov, Dmitry
		and Plemenos, Dimitri",
  title = 	"High level methods for scene exploration",
  journal = 	"JVRB - Journal of Virtual Reality and Broadcasting",
  year = 	"2007",
  volume = 	"3(2006)",
  number = 	"12",
  keywords = 	"Scene understanding; automatic virtual camera; good point of view",
  abstract = 	"Virtual worlds exploration techniques are used in a wide variety of domains --- from graph drawing to robot motion. This paper is dedicated to virtual world exploration techniques which have to help a human being to understand a 3D scene. An improved method of viewpoint quality estimation is presented in the paper, together with a new off-line method for automatic 3D scene exploration, based on a virtual camera. The automatic exploration method is working in two steps. In the first step, a set of ``good'' viewpoints is computed. The second step uses this set of points of view to compute a camera path around the scene. Finally, we define a notion of semantic distance between objects of the scene to improve the approach.",
  issn = 	"1860-2037",
  doi = 	"10.20385/1860-2037/3.2006.12",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-6-11144"
}
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RIS

TY  - JOUR
AU  - Sokolov, Dmitry
AU  - Plemenos, Dimitri
PY  - 2007
DA  - 2007//
TI  - High level methods for scene exploration
JO  - JVRB - Journal of Virtual Reality and Broadcasting
VL  - 3(2006)
IS  - 12
KW  - Scene understanding
KW  - automatic virtual camera
KW  - good point of view
AB  - Virtual worlds exploration techniques are used in a wide variety of domains — from graph drawing to robot motion. This paper is dedicated to virtual world exploration techniques which have to help a human being to understand a 3D scene. An improved method of viewpoint quality estimation is presented in the paper, together with a new off-line method for automatic 3D scene exploration, based on a virtual camera. The automatic exploration method is working in two steps. In the first step, a set of “good” viewpoints is computed. The second step uses this set of points of view to compute a camera path around the scene. Finally, we define a notion of semantic distance between objects of the scene to improve the approach.
SN  - 1860-2037
UR  - http://nbn-resolving.de/urn:nbn:de:0009-6-11144
DO  - 10.20385/1860-2037/3.2006.12
ID  - sokolov2007
ER  -
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Wordbib

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ISI

PT Journal
AU Sokolov, D
   Plemenos, D
TI High level methods for scene exploration
SO JVRB - Journal of Virtual Reality and Broadcasting
PY 2007
VL 3(2006)
IS 12
DI 10.20385/1860-2037/3.2006.12
DE Scene understanding; automatic virtual camera; good point of view
AB Virtual worlds exploration techniques are used in a wide variety of domains — from graph drawing to robot motion. This paper is dedicated to virtual world exploration techniques which have to help a human being to understand a 3D scene. An improved method of viewpoint quality estimation is presented in the paper, together with a new off-line method for automatic 3D scene exploration, based on a virtual camera. The automatic exploration method is working in two steps. In the first step, a set of “good” viewpoints is computed. The second step uses this set of points of view to compute a camera path around the scene. Finally, we define a notion of semantic distance between objects of the scene to improve the approach.
ER
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Mods

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    <title>High level methods for scene exploration</title>
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    <namePart type="given">Dimitri</namePart>
  </name>
  <abstract>Virtual worlds exploration techniques are used in a wide variety of domains — from graph drawing to robot motion. This paper is dedicated to virtual world exploration techniques which have to help a human being to understand a 3D scene. An improved method of viewpoint quality estimation is presented in the paper, together with a new off-line method for automatic 3D scene exploration, based on a virtual camera. The automatic exploration method is working in two steps. In the first step, a set of “good” viewpoints is computed. The second step uses this set of points of view to compute a camera path around the scene. Finally, we define a notion of semantic distance between objects of the scene to improve the approach.</abstract>
  <subject>
    <topic>Scene understanding</topic>
    <topic>automatic virtual camera</topic>
    <topic>good point of view</topic>
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Full Metadata

Bibliographic Citation JVRB, 3(2006), no. 12.
Title

High level methods for scene exploration (eng)
Author Dmitry Sokolov, Dimitri Plemenos
Language eng
Abstract Virtual worlds exploration techniques are used in a wide variety of domains — from graph drawing to robot motion. This paper is dedicated to virtual world exploration techniques which have to help a human being to understand a 3D scene. An improved method of viewpoint quality estimation is presented in the paper, together with a new off-line method for automatic 3D scene exploration, based on a virtual camera. The automatic exploration method is working in two steps. In the first step, a set of “good” viewpoints is computed. The second step uses this set of points of view to compute a camera path around the scene. Finally, we define a notion of semantic distance between objects of the scene to improve the approach.
Subject Scene understanding, automatic virtual camera, good point of view
Classified Subjects
swd
  • 4366655-3, Camera
DDC 004
Rights DPPL
URN: urn:nbn:de:0009-6-11144
DOI https://doi.org/10.20385/1860-2037/3.2006.12