搜索结果: 1-6 共查到“计算机科学技术 spatio-temporal”相关记录6条 . 查询时间(0.105 秒)
Affective Video Classification Based on Spatio-Temporal Feature Fusion
video clssification facial expression recognition spatio-temporal feature fusion hidden dynamic conditional random fields
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2013/7/24
In this paper, we propose a novel affective video classification method based on facial expression recognition by learning the spatio-temporal feature fusion of actors’ and viewers’ facial expressions...
Opportunities for Knowledge Discovery in Spatio-Temporal Information Systems
Knowledge Discovery Data Mining Spatial Information Systems
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2009/12/8
Spatial Information Systems and their recent temporal extensions typically store large volumes of geo-referenced information. Having such size, it becomes increasingly difficult to explore their conte...
A Spatio-Temporal Auto Regressive Model for Frame Rate Upconversion
Auto regressive model frame rate upconversion self-feedback training window
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2013/7/16
This paper proposes a spatio-temporal auto regressive (STAR) model for frame rate upconversion. In the STAR model, each pixel in the interpolated frame is approximated as the weighted combination of a...
SPATIO-TEMPORAL DYNAMICS IN CELLULAR NEURAL NETWORKS
analog parallel architectures Cellular Neural Networks spatio-temporal dynamics
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2010/1/11
Analog Parallel Architectures like Cellular Neural Networks (CNN’s) have
been thoroughly studied not only for their potential in high-speed image processing
applications but also for their rich and ...
DYNAMIC BACKGROUND MODELING AND SUBTRACTION USING SPATIO-TEMPORAL LOCAL BINARY PATTERNS
Background modeling object detection spatio-temporal features local binary patterns
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2013/7/17
Traditional background modeling and subtraction methods have a strong assumption that the scenes are of static structures with limited perturbation. These methods will perform poorly in dynamic scenes...
MONOCULAR TRACKING 3D PEOPLE BY GAUSSIAN PROCESS SPATIO-TEMPORAL VARIABLE MODEL
MONOCULAR TRACKING 3D GAUSSIAN SPATIO-TEMPORAL VARIABLE MODEL
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2010/12/17
Tracking 3D people from monocular video is often poorly constrained. To mitigate this problem, prior knowledge should be exploited. In this paper, the Gaussian process
spatio-temporal variable model ...