512 Result(s)
within
Computer Communication Networks
Information Systems Applications (incl. Internet)
Multimedia Information Systems
**u-**u Zhang
Chapter
Conference Paper
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Chapter and Conference Paper
Compression Artifacts Reduction for Depth Map by Deep Intensity Guidance
In this paper, we propose a intensity guided CNN (IG-Net) model, which learns an end-to-end map** between the intensity image and distorted depth map to the uncompressed depth map. To eliminate the undesired...
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Chapter and Conference Paper
SPOS: Deblur Image by Using Sparsity Prior and Outlier Suppression
In this paper, we propose an effective and robust method SPOS (Sparsity Prior and Outlier Suppression) for blurry image restoration. First, we combine histogram equalization and prior constrain to obtain the s...
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Chapter and Conference Paper
A Novel Fragile Watermarking Scheme for 2D Vector Map Authentication
In this paper, we use a grou** method and feature marking to ensure a good localization accuracy. Then, on the basis of vertex insertion and an embedding strategy that can resist rotation, translation and sc...
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Chapter and Conference Paper
Improved Key Poses Model for Skeleton-Based Action Recognition
With the development of Kinect sensor, action recognition based on human skeleton becomes a prosperous research field. In this paper, an improved method is proposed to select a few inconsecutive, discriminativ...
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Chapter and Conference Paper
Light Field Image Compression with Sub-apertures Reordering and Adaptive Reconstruction
Light field (LF) attracts tremendous attention due to its capability of recording the intensity of scene objects as well as the direction of the light ray, which also dramatically increases the amount of redun...
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Chapter and Conference Paper
Multi-operator Image Retargeting with Preserving Aspect Ratio of Important Contents
Content-aware image retargeting can preserve the quality of visually important objects during image resizing. However, some previous approaches fail to provide desired results as the sizes of the important obj...
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Chapter and Conference Paper
The Intelligent Monitoring for the Elderly Based on WiFi Signals
With the increasing aging population, the intelligent monitoring for the elderly living alone has become a hot research topic. As the universal of WiFi, the intelligent monitoring system based on WiFi Channel...
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Chapter and Conference Paper
Trajectory-Pooled 3D Convolutional Descriptors for Action Recognition
Hand-crafted and learning-based features are two main types of video representations in the field of video understanding. How to combine their merits to design good descriptors has been the research hotspot re...
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Chapter and Conference Paper
Image Quality Assessment for Video Surveillance System
With the popularity of surveillance system, traditional method to daily keep watch on its performance by human cannot meet the requirements anymore. Image degradation is a progressive process and its ideal ve...
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Chapter and Conference Paper
Dense Frame-to-Model SLAM with an RGB-D Camera
In this paper, a dense frame-to-model Simultaneous Localization And Map** (SLAM) with an RGB-D camera is proposed, which achieves a more accurate trajectory in contrast to traditional frame-to-model methods....
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Chapter and Conference Paper
Automatic Facial Complexion Classification Based on Mixture Model
Classification of facial colors plays a vital role in Traditional Chinese Medicine (TCM), photo beautification, matching cloths and other beauty and cosmetics industry. The face color of a person is considered...
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Chapter and Conference Paper
Fast Circular Object Localization and Pose Estimation for Robotic Bin Picking
Detecting and localizing objects in three-dimensional space is essential for robotic manipulation. One practical task is known as “bin-picking”, where a robot manipulator picks objects from a bin of parts with...
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Chapter and Conference Paper
Multi-scale Convolutional Neural Networks for Non-blind Image Deconvolution
Image deconvolution appears in many image-related problems. Previous works tried to train neural networks directly on blurry/clean pairs to restore clean images but failed. In this work, we propose a novel neu...
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Chapter and Conference Paper
An Adaptive Tuning Sparse Fast Fourier Transform
The Sparse Fast Fourier Transform (SFFT) is a novel algorithm for discrete Fourier transforms on signals with the sparsity in frequency domain. A reference implementation of the algorithm has been proven to be...
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Chapter and Conference Paper
Mini Neural Networks for Effective and Efficient Mobile Album Organization
In this paper, we present an auto mobile album organization system, which can automatically classify daily photos in mobile devices into six daily categories, e.g., Baby, Food, Party, Scenery, Selfie, and Sport. ...
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Chapter and Conference Paper
AWCR: Adaptive and Weighted Collaborative Representations for Face Super-Resolution with Context Residual-Learning
Owing to the ill-posed nature of the image super-resolution (SR) problem, learning-based approaches typically employ regularization terms in the representation. Current local-patch based face SR approaches wei...
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Chapter and Conference Paper
Aligned Local Descriptors and Hierarchical Global Features for Person Re-Identification
Person re-identification aims at identifying the same person from different non-overlap** camera views, in which one of the fundamental issues is to have a robust feature under various conditions. In order t...
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Chapter and Conference Paper
A Real-Time Multi-view AVS2 Decoder on Mobile Phone
This demonstration provides a real-time AVS2 decoder, which is able to decode two 1080p videos in different views and render videos in red-blue 3D on mobile phones. The newly-published second generation of Aud...
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Chapter and Conference Paper
Target Depth Measurement for Machine Monocular Vision
Most of the existing machine vision positioning technology focused on the technology of double camera geometric positioning, or use a single camera plus non-visual sensor technology for positioning. These two ...
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Chapter and Conference Paper
Single Image Haze Removal Based on Global-Local Optimization for Depth Map
With the wide application of computer vision system, image haze removal has become a new challenge. A great number of image dehazing methods are proposed, which have varying degrees of dehazing effects and dif...
