15 Result(s)
within
Computer Science
Computer Graphics
Image Processing and Computer Vision
**hai Yu
Conference Paper
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Chapter and Conference Paper
Accurate 3D Facial Synthesis for Plastic Surgery Simulation
3D facial synthesis has been an intensive research topic in both image processing and computer graphics. So far common facial synthesizing methods were either statistic model based or laser range scanner (LRS)...
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Chapter and Conference Paper
A New Manifold Representation for Visual Speech Recognition
In this paper, we propose a new manifold representation capable of being applied for visual speech recognition. In this regard, the real time input video data is compressed using Principal Component Analysis (...
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Chapter and Conference Paper
A Novel Visual Speech Representation and HMM Classification for Visual Speech Recognition
This paper presents the development of a novel visual speech recognition (VSR) system based on a new representation that extends the standard viseme concept (that is referred in this paper to as Visual Speech ...
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Chapter and Conference Paper
Capacity-Approaching Codes for Reversible Data Hiding
By reversible data hiding, the original cover can be losslessly restored after the embedded information is extracted. Kalker and Willems established a rate-distortion model for reversible data hiding, in which...
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Chapter and Conference Paper
Crowd Tracking with Dynamic Evolution of Group Structures
Crowd tracking generates trajectories of a set of particles for further analysis of crowd motion patterns. In this paper, we try to answer the following questions: what are the particles appropriate for crowd ...
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Chapter and Conference Paper
Improve Neural Network Using Saliency
In traditional neural networks for image classification, every input image pixel is treated the same way. However real human visual system tends pay more attention to what they really focus on. This paper prop...
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Chapter and Conference Paper
Moving Object Segmentation by Length-Unconstrained Trajectory Analysis
Background subtraction for moving cameras is an unsolved key problem in intelligent video analysis. Trajectory analysis has demonstrated a significant difference between background and foreground motion model....
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Chapter and Conference Paper
A Robust Occlusion Judgment Scheme for Target Tracking Under the Framework of Particle Filter
In traffic surveillance system, it is still a challenging issue to track an occluded vehicle continuously and accurately, especially under total occlusion situations. Occlusion judgment is critical in occluded...
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Chapter and Conference Paper
Cooperative Target Tracking in Dual-Camera System with Bidirectional Information Fusion
The Dual-Camera system which consists of a static camera and a pan-tilt-zoom (PTZ) camera, plays an importance role in public area monitoring. The superiority of this system lies in that it can offer wide area...
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Chapter and Conference Paper
Secure Image Denoising over Two Clouds
Multimedia processing with cloud is prevalent now, which the cloud server can provide abundant resources to processing various multimedia processing tasks. However, some privacy issues must be considered in cl...
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Chapter and Conference Paper
TCCF: Tracking Based on Convolutional Neural Network and Correlation Filters
With the rapid development of deep learning in recent years, lots of trackers based on deep learning were proposed, and achieved great improvements compared with traditional methods. However, due to the scarci...
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Chapter and Conference Paper
Key-Region Representation Learning for Anomaly Detection
Anomaly detection and localization is of great importance for public safety monitoring. In this paper we focus on individual behavior anomaly detection, which remains a challenging problem due to complicated d...
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Chapter and Conference Paper
Deep Scale Feature for Visual Tracking
Recently, deep learning methods have been introduced to the field of visual tracking and gain promising results due to the property of complicated feature. However existing deep learning trackers use pre-train...
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Chapter and Conference Paper
PPEDNet: Pyramid Pooling Encoder-Decoder Network for Real-Time Semantic Segmentation
Image semantic segmentation is a fundamental problem and plays an important role in computer vision and artificial intelligence. Recent deep neural networks have improved the accuracy of semantic segmentation ...
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Chapter and Conference Paper
Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition
Recognizing visual relationships \(\langle \) subject-predicate-object
