"Computational Modeling"

Identifying and Pruning Redundant Structures for Deep Neural Networks
Deep convolutional neural networks have achieved considerable success in the field of computer vision. However, it is difficult to …
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Review of ITU-T parametric models for compressed video quality estimation
This paper presents a review of parametric models for video quality estimation standardized in the past few years. The focus of this …
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Review of ITU-T Parametric Models for Compressed Video Quality Estimation
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A Parallel-Fusion RNN-LSTM Architecture for Image Caption Generation
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Avs Encoding Optimization with Perceptual Just Noticeable Distortion Model
Integrating efficient visual perceptual cues into standardized video coding framework can improve performance significantly. In this …
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Video stabilization with L1–L2 optimization
Digital videos often suffer from undesirable camera jitters because of unstable camera motions. In this paper we present a novel video …
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Object contour tracking using multi-feature fusion based particle filter
In this paper, a novel object contour tracking framework integrating independent multi-feature fusion object rough location and …
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Hybrid center-symmetric local pattern for dynamic background subtraction
Effective foreground detection in dynamic scenes is a challenging task in computer vision applications. In this paper, we propose a …
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Hybrid Center-Symmetric Local Pattern for Dynamic Background Subtraction
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Dynamic background subtraction based on spatial extended center-symmetric local binary pattern
Moving objects detection in dynamic scenes is a challenging task in many computer vision applications. Traditional background modeling …
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