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» Locally Monotonic Models for Image and Video Processing
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ICIP
2003
IEEE
14 years 9 months ago
Graph-based object tracking
This paper proposes a model-based methodology for recognizing and tracking objects in digital image sequences. Objects are represented by attributed relational graphs (or ARGs), w...
Cristina Gomila, Fernand Meyer
ICMCS
1995
IEEE
156views Multimedia» more  ICMCS 1995»
13 years 11 months ago
Spatio-Temporal Modeling of Video Data for On-Line Object-Oriented Query Processing
This paper presents a framework for data modeling ntic abstraction of image/video data. The framework is based on spatio-temporalinformation associated with salient objects in an ...
Young Francis Day, Serhan Dagtas, Mitsutoshi Iino,...
CGVR
2006
13 years 8 months ago
Image Reconstruction Scheme for Watersheds based Video Segmentation
- In this paper, we proposed a new solution to the reconstruction of image in order to solve the oversegmentation problem of watershed transformation which is widely used as an ima...
Hyun Sil Sin, Hyun Woo Park, Hwang Kyu Yang, Tae S...
ICASSP
2010
IEEE
13 years 7 months ago
Detecting local semantic concepts in environmental sounds using Markov model based clustering
Detecting the time of occurrence of an acoustic event (for instance, a cheer) embedded in a longer soundtrack is useful and important for applications such as search and retrieval...
Keansub Lee, Daniel P. W. Ellis, Alexander C. Loui
TNN
2008
178views more  TNN 2008»
13 years 7 months ago
IMORL: Incremental Multiple-Object Recognition and Localization
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
Haibo He, Sheng Chen