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» Visual information retrieval using synthesized imagery
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MIR
2006
ACM
145views Multimedia» more  MIR 2006»
14 years 3 months ago
Similarity learning via dissimilarity space in CBIR
In this paper, we introduce a new approach to learn dissimilarity for interactive search in content based image retrieval. In literature, dissimilarity is often learned via the fe...
Giang P. Nguyen, Marcel Worring, Arnold W. M. Smeu...
MM
2010
ACM
243views Multimedia» more  MM 2010»
13 years 9 months ago
Mobile product recognition
We present a mobile product recognition system for the camera-phone. By snapping a picture of a product with a camera-phone, the user can retrieve online information of the produc...
Sam S. Tsai, David M. Chen, Vijay Chandrasekhar, G...
ITCC
2005
IEEE
14 years 2 months ago
A Comparative Study of Three Moment-Based Shape Descriptors
Shape is one of the fundamental visual features in the Content-based Image Retrieval (CBIR) paradigm. Numerous shape descriptors have been proposed in the literature. These can be...
M. Emre Celebi, Y. Alp Aslandogan
MM
2010
ACM
215views Multimedia» more  MM 2010»
13 years 9 months ago
Sirio, orione and pan: an integrated web system for ontology-based video search and annotation
In this technical demonstration we show an integrated web system for video search and annotation based on ontologies. The system is composed by three components: the Orione1 ontol...
Marco Bertini, Gianpaolo D'Amico, Andrea Ferracani...
ICCV
2009
IEEE
1331views Computer Vision» more  ICCV 2009»
15 years 2 months ago
I know what you did last summer: object-level auto-annotation of holiday snaps
The state-of-the art in visual object retrieval from large databases allows to search millions of images on the object level. Recently, complementary works have proposed systems ...
Stephan Gammeter, Lukas Bossard, Till Quack, Luc V...