8 Result(s)
within
Computer Science
Image Processing and Computer Vision
Multimedia Information Systems
**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 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
Regularized Semi-supervised Latent Dirichlet Allocation for Visual Concept Learning
Topic models are a popular tool for visual concept learning. Current topic models are either unsupervised or fully supervised. Although lots of labeled images can significantly improve the performance of topic...
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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
Multi-target Tracking via Max-Entropy Target Selection and Heterogeneous Camera Fusion
Nowadays, dual-camera systems, which consist of a static camera and a pan-tilt-zoom (PTZ) camera, have become popular in video surveillance, since they can offer wide area coverage and highly detailed images o...
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Chapter and Conference Paper
Semi-supervised Learning for Human Pose Recognition with RGB-D Light-Model
This work targets human pose recognition based on RGB-D videos. In recently, RGB-D based methods can be typically represented as either maps-based approaches or skeleton-based approaches. This paper proposes a...
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Chapter and Conference Paper
Anomaly Detection with Passive Aggressive Online Gaussian Model Estimation
Anomaly detection is an important topic for surveillance video analysis and public security management. One of the major challenges comes from the fact that there is no abnormal data for training in most cases...
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Chapter and Conference Paper
Visual Tracking by Deep Discriminative Map
Deep neural networks which widely used in image classification and speech recognition have been successfully applied to model-free object tracking. However, during tracking, it easily falls into over-fitting p...
