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» Semantic based image retrieval: a probabilistic approach
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ICIP
2000
IEEE
15 years 2 months ago
Texture Similarity Measurement Using Kullback-Leibler Distance on Wavelet Subbands
The focus of this work is on using texture information for searching, browsing and retrieving images from a large database. In the wavelet approaches, texture is characterized by ...
Minh N. Do, Martin Vetterli
106
Voted
CVPR
2012
IEEE
13 years 19 days ago
Unsupervised learning of translation invariant occlusive components
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
Zhenwen Dai, Jörg Lücke
129
Voted
CIVR
2008
Springer
207views Image Analysis» more  CIVR 2008»
14 years 12 months ago
Accumulated motion energy fields estimation and representation for semantic event detection
In this paper, a motion-based approach for detecting highlevel semantic events in video sequences is presented. Its main characteristic is its generic nature, i.e. it can be direc...
Georgios Th. Papadopoulos, Vasileios Mezaris, Ioan...
ICPR
2008
IEEE
15 years 4 months ago
Combined visual attention model for video sequences
The paper presents a model of visual attention combined with eye tracking to drive content-based retrieval of image data in order to facilitate understanding and development of ne...
Mariofanna G. Milanova, Stuart Harvey Rubin, Roume...
MIR
2006
ACM
145views Multimedia» more  MIR 2006»
15 years 4 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...