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MVA
1990
162views Computer Vision» more  MVA 1990»
13 years 5 months ago
Map-Driven Image Interpretation by Associative Model Indexing
d at a high abstraction level, and consists in an expectation-driven search starting from symbolic object descriptions and using a version of a distributed blackboard system for re...
Gian Luca Foresti, Vittorio Murino, Carlo S. Regaz...
ICCV
2009
IEEE
13 years 2 months ago
Segmentation, ordering and multi-object tracking using graphical models
In this paper, we propose a unified graphical-model framework to interpret a scene composed of multiple objects in monocular video sequences. Using a single pairwise Markov random...
Chaohui Wang, Martin de La Gorce, Nikos Paragios
GIR
2006
ACM
13 years 10 months ago
Associating spatial patterns to text-units for summarizing geographic information
Retrieving data based not only on key words is a challenge. We worked on semi-structured data (cultural heritage corpora). Our project aimed at getting the most relevant text-unit...
Julien Lesbegueries, Christian Sallaberry, Mauro G...
MMM
2003
Springer
136views Multimedia» more  MMM 2003»
13 years 9 months ago
Modeling Data and User Characteristics by Peer Indexing in Content-based Image Retrieval
: Modeling the characteristics of specific images and individual users is a critical issue in content-based image retrieval but insufficiently addressed by the current retrieval ap...
Jun Yang 0003, Qing Li, Yueting Zhuang
ECCV
2004
Springer
14 years 6 months ago
A Constrained Semi-supervised Learning Approach to Data Association
Data association (obtaining correspondences) is a ubiquitous problem in computer vision. It appears when matching image features across multiple images, matching image features to ...
Hendrik Kück, Nando de Freitas, Peter Carbone...