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» Combining Textual and Visual Features for Image Retrieval
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CG
2002
Springer
14 years 9 months ago
Gentropy: evolving 2D textures
Gentropy is a genetic programming system that evolves two-dimensional procedural textures. It synthesizes textures by combining mathematical and image manipulation functions into ...
Andrea L. Wiens, Brian J. Ross
DICTA
2009
14 years 10 months ago
SIFTing the Relevant from the Irrelevant: Automatically Detecting Objects in Training Images
Many state-of-the-art object recognition systems rely on identifying the location of objects in images, in order to better learn its visual attributes. In this paper, we propose fo...
Edmond Zhang, Michael Mayo
CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
14 years 11 months ago
A probabilistic ranking framework using unobservable binary events for video search
Recent content-based video retrieval systems combine output of concept detectors (also known as high-level features) with text obtained through automatic speech recognition. This ...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries, Fra...
ICIP
1998
IEEE
15 years 11 months ago
Invariant-based Data Model for Image Databases
We describe a new invariant-based data model for image databases under our approach for shape-based retrieval. The data model relies on contours description of the image shape, an...
Michael Kliot, Ehud Rivlin
ICPR
2002
IEEE
15 years 10 months ago
Building the Topological Tree by Recursive FCM Color Clustering
In this paper we define a Topological Tree (TT) as a knowledge representation method that aims to describe important visual and spatial features of image regions, namely the color...
Rita Cucchiara, Costantino Grana, Andrea Prati, St...