131 Result(s)
within
Chapter
Ke** Zhang
Computer Communication Networks
Image Processing and Computer Vision
Information Systems Applications (incl. Internet)
Multimedia Information Systems
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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
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
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
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
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
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
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
Benchmarking Screen Content Image Quality Evaluation in Spatial Psychovisual Modulation Display System
Spatial Psychovisual Modulation (SPVM) is a novel information display technology which aims to simultaneously generate multiple visual percepts for different viewers on a single display. The SPVM system plays ...
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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
Shallow and Deep Model Investigation for Distinguishing Corn and Weeds
Nowadays, the development of agriculture is growing very fast. The yields of corn is also an important indicator and a great part in the agriculture, which makes automatic weeds removal a necessary and urgent ...
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Chapter and Conference Paper
Tire X-ray Image Impurity Detection Based on Multiple Kernel Learning
Impurity detection on tire X-ray image is an indispensable phase in tire quality control and the widely adopted manual inspection could not attain satisfactory performance. In this work we propose an idMKL met...
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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
Vehicle Verification Based on Deep Siamese Network with Similarity Metric
Vehicle verification is a challenging research problem with important practical applications. Most prior work focused on either feature learning or distance metric learning, which could not guarantee the compa...
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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
Task-Specific Neural Networks for Pose Estimation in Person Re-identification Task
Person re-identification is a challenging task because of severe appearance changes of a person due to diverse camera viewpoints and person poses. To alleviate the impact of different poses, more and more stud...
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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
Saliency-GD: A TF-IDF Analogy for Landmark Image Mining
In this paper we address the problem of unsupervised landmark mining, which is to automatically discover frequently appearing landmarks from an unstructured image dataset. Landmark mining often suffers from fa...
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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...
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Chapter and Conference Paper
SSGAN: Secure Steganography Based on Generative Adversarial Networks
In this paper, a novel strategy of Secure Steganography based on Generative Adversarial Networks is proposed to generate suitable and secure covers for steganography. The proposed architecture has one generati...
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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...
