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» Ground-Truthed Video Generation from Symbolic Information
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110
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JASIS
1998
172views more  JASIS 1998»
14 years 9 months ago
Speech Recognition for a Digital Video Library
The standard method for making the full content of audio and video material searchable and is to annotate it with humangenerated meta-data that describes the content in a way that...
Michael J. Witbrock, Alexander G. Hauptmann
CVPR
2007
IEEE
15 years 11 months ago
Recognizing Human Activities from Silhouettes: Motion Subspace and Factorial Discriminative Graphical Model
We describe a probabilistic framework for recognizing human activities in monocular video based on simple silhouette observations in this paper. The methodology combines kernel pr...
Liang Wang, David Suter
CVPR
2007
IEEE
15 years 11 months ago
Kernel-based Tracking from a Probabilistic Viewpoint
In this paper, we present a probabilistic formulation of kernel-based tracking methods based upon maximum likelihood estimation. To this end, we view the coordinates for the pixel...
Quang Anh Nguyen, Antonio Robles-Kelly, Chunhua Sh...
CVPR
2009
IEEE
16 years 4 months ago
Topology Dictionary with Markov Model for 3D Video Content-Based Skimming and Description
This paper presents a novel approach to skim and describe 3D videos. 3D video is an imaging technology which consists in a stream of 3D models in motion captured by a synchronized ...
Tony Tung (Kyoto University), Takashi Matsuyama (K...
79
Voted
ICPR
2006
IEEE
15 years 10 months ago
View Dependent Enhancement of the Dynamic Range of Video
There are many applications for computer vision where a scene observed contains a wide range of brightness. Often, the low dynamic range of a camera limits the accuracy of informa...
Matti Niskanen