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» Genetic algorithms for object recognition in a complex scene
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MIR
2004
ACM
236views Multimedia» more  MIR 2004»
14 years 2 months ago
Boosting contextual information in content-based image retrieval
We present a new framework for characterizing and retrieving objects in cluttered scenes. This CBIR system is based on a new representation describing every object taking into acc...
Jaume Amores, Nicu Sebe, Petia Radeva, Theo Gevers...
MM
2006
ACM
330views Multimedia» more  MM 2006»
14 years 2 months ago
Visual attention detection in video sequences using spatiotemporal cues
Human vision system actively seeks interesting regions in images to reduce the search effort in tasks, such as object detection and recognition. Similarly, prominent actions in v...
Yun Zhai, Mubarak Shah
ICCS
2004
Springer
14 years 2 months ago
Point-Based Modeling from a Single Image
Abstract. The complexity of virtual environments has grown spectacularly over the recent years, mainly thanks to the use of the currently cheap high performance graphics cards. As ...
Pere-Pau Vázquez, Jordi Marco, Mateu Sbert
ISDA
2010
IEEE
13 years 6 months ago
Self-adaptive Gaussian mixture models for real-time video segmentation and background subtraction
The usage of Gaussian mixture models for video segmentation has been widely adopted. However, the main difficulty arises in choosing the best model complexity. High complex models ...
Nicola Greggio, Alexandre Bernardino, Cecilia Lasc...
ICIP
2008
IEEE
14 years 3 months ago
Time-sequential extraction of motion layers
A new time-sequential approach for motion layer extraction is presented. We assume that the scene can be described by a set of layers associated to affine motion models. In one o...
Matthieu Fradet, Patrick Pérez, Philippe Ro...