Xiaokang Yang

article

Directional Texture Editing for 3D Models

Shengqi Liu, Zhuo Chen, Jingnan Gao, Yichao Yan, more

Computer Graphics Forum > 43 > 6 > n/a - n/a

Texture editing is a crucial task in 3D modelling that allows users to automatically manipulate the surface materials of 3D models. However, the inherent complexity of 3D models and the ambiguous text description lead to the challenge of this task. To tackle this challenge, we propose ITEM3D, a Texture Editing Model designed for automatic 3D object editing according to the text Instructions. Leveraging...

article

Saliency-induced reduced-reference quality index for natural scene and screen content images

Xiongkuo Min, Ke Gu, Guangtao Zhai, Menghan Hu, more

Signal Processing > 2018 > 145 > C > 127-136

Massive content composed of both natural scene and screen content has been generated with the increasing use of wireless computing and cloud computing, which call for general image quality assessment (IQA) measures working for both natural scene images (NSIs) and screen content images (SCIs). In this paper, we develop a saliency-induced reduced-reference (SIRR) IQA measure for both NSIs and SCIs....

article

Arrow’s Impossibility Theorem inspired subjective image quality assessment approach

Wenhan Zhu, Guangtao Zhai, Menghan Hu, Jing Liu, more

Signal Processing > 2018 > 145 > C > 193-201

A large number of subjective image quality assessment databases have been constructed in the last decade, in which the Mean Opinion Score (MOS) (with single or double stimulus), and Paired Comparison (PC) are two dominant approaches for collecting the ground truth quality ratings and usually up to 15 or more subjects are needed for each image. In this paper, we show the fact that there is a potential...

article

Adaptive Correlation Filters with Long-Term and Short-Term Memory for Object Tracking

Chao Ma, Jia-Bin Huang, Xiaokang Yang, Ming-Hsuan Yang

International Journal of Computer Vision > 2018 > 126 > 8 > 771-796

Object tracking is challenging as target objects often undergo drastic appearance changes over time. Recently, adaptive correlation filters have been successfully applied to object tracking. However, tracking algorithms relying on highly adaptive correlation filters are prone to drift due to noisy updates. Moreover, as these algorithms do not maintain long-term memory of target appearance, they cannot...

article

Perceptual information hiding based on multi-channel visual masking

Duo Li, Guangtao Zhai, Xiaokang Yang, Menghan Hu, more

Neurocomputing > 2017 > 269 > C > 170-179

Information security, the practice to protect information from unauthorized use, attracts researchers attention. In this paper, we proposed a visual masking effect based perceptual information protection scheme for display devices, such as mobile device, personal computer and ATM machine. The private information is embedded into the misleading image with the proposed algorithm, resulting in a dramatic...

article

Deep Multimodal Distance Metric Learning Using Click Constraints for Image Ranking

Jun Yu, Xiaokang Yang, Fei Gao, Dacheng Tao

IEEE Transactions on Cybernetics > 2017 > 47 > 12 > 4014 - 4024

How do we retrieve images accurately? Also, how do we rank a group of images precisely and efficiently for specific queries? These problems are critical for researchers and engineers to generate a novel image searching engine. First, it is important to obtain an appropriate description that effectively represent the images. In this paper, multimodal features are considered for describing images. The...

article

No-Reference Quality Metric of Contrast-Distorted Images Based on Information Maximization

Ke Gu, Weisi Lin, Guangtao Zhai, Xiaokang Yang, more

IEEE Transactions on Cybernetics > 2017 > 47 > 12 > 4559 - 4565

The general purpose of seeing a picture is to attain information as much as possible. With it, we in this paper devise a new no-reference/blind metric for image quality assessment (IQA) of contrast distortion. For local details, we first roughly remove predicted regions in an image since unpredicted remains are of much information. We then compute entropy of particular unpredicted areas of maximum...

article

Visual attention analysis and prediction on human faces

Xiongkuo Min, Guangtao Zhai, Ke Gu, Jing Liu, more

Information Sciences > 2017 > 420 > C > 417-430

Human faces are almost always the focus of visual attention because of the rich semantic information therein. While some visual attention models incorporating face cues indeed perform better in images with faces, yet there is no systematic analysis of the deployment of visual attention on human faces in the context of visual attention modelling, nor is there any specific attention model designed for...

chapter

Performance Guaranteed Network Acceleration via High-Order Residual Quantization

Zefan Li, Bingbing Ni, Wenjun Zhang, Xiaokang Yang, more

2017 IEEE International Conference on Computer Vision (ICCV) > 2603 - 2611

2017 IEEE International Conference on Computer Vision (ICCV)

Input binarization has shown to be an effective way for network acceleration. However, previous binarization scheme could be regarded as simple pixel-wise thresholding operations (i.e., order-one approximation) and suffers a big accuracy loss. In this paper, we propose a highorder binarization scheme, which achieves more accurate approximation while still possesses the advantage of binary operation...

article

A self‐adaptive load‐dispatching control framework for device data accessing in IoT‐based systems

Jun Wang, Haibing Yin, Yongfeng Fu, Xiaokang Yang

International Journal of Communication Systems > 30 > 12 > n/a - n/a

The Internet of things (IoT) information system plays important roles in disposing of huge volumes of real‐time service requests from heterogeneous devices, targeting for different complex application requirements. Load‐dispatching control (LDC) is a key problem to be solved for devices accessing concurrently in cluster systems. Self‐adaptive LDC optimizes the resource allocation to ensure no overloading...

chapter

Deep hash learning for efficient image retrieval

Xuchao Lu, Li Song, Rong Xie, Xiaokang Yang, more

2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) > 579 - 584

2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)

Hashing method is a widely used method for content-based image retrieval. For more complicated semantic similarity of images, supervised hashing methods based on hand-crafted features show its limitations. Convolutional neural network (CNN) has powerful automatic feature learning ability. For this reason, CNN based deep hashing methods outperform previous methods. In this paper, we propose a new deep...

chapter

Video Segmentation via Multiple Granularity Analysis

Rui Yang, Bingbing Ni, Chao Ma, Yi Xu, more

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) > 6383 - 6392

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

We introduce a Multiple Granularity Analysis framework for video segmentation in a coarse-to-fine manner. We cast video segmentation as a spatio-temporal superpixel labeling problem. Benefited from the bounding volume provided by off-the-shelf object trackers, we estimate the foreground/ background super-pixel labeling using the spatiotemporal multiple instance learning algorithm to obtain coarse...

chapter

Recurrent Modeling of Interaction Context for Collective Activity Recognition

Minsi Wang, Bingbing Ni, Xiaokang Yang

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) > 7408 - 7416

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Modeling of high order interactional context, e.g., group interaction, lies in the central of collective/group activity recognition. However, most of the previous activity recognition methods do not offer a flexible and scalable scheme to handle the high order context modeling problem. To explicitly address this fundamental bottleneck, we propose a recurrent interactional context modeling scheme based...

chapter

Dual-mode imaging system for non-contact heart rate estimation during night

Menghan Hu, Guangtao Zhai, Duo Li, Yezhao Fan, more

2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) > 97 - 102

2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)

To estimate heart rate (HR) during night remotely and unobtrusively, we use a far-infrared camera and an RGB-Infrared camera to develop a dual-mode imaging system. The RGB or infrared images are first registered by the far-infrared images through the affine transformation. A custom-made cascade face classifier, which contains the conventional Adaboost model and fully convolutional network, was applied...

chapter

IPAD: Intensity potential for adaptive de-quantization

Jing Liu, Guangtao Zhai, Xiaokang Yang, Menghan Hu, more

2017 IEEE International Conference on Multimedia and Expo (ICME) > 1207 - 1212

2017 IEEE International Conference on Multimedia and Expo (ICME)

Display devices at bit-depth of 10 or higher have been mature but the mainstream media source is still at bit-depth as low as 8. To accommodate the gap, the most economic solution is to render source at low bit-depth for high bit-depth display, which is essentially the procedure of de-quantization. Traditional methods, like zero-padding or bit replication, introduce annoying false contour artifacts...

chapter

Subjective and objective quality assessment for color changed images

Anyang Wang, Guangtao Zhai, Yuanchun Chen, Zhaohui Che, more

2017 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) > 1 - 6

2017 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

Color change is an important factor in image quality assessment (IQA). Changing color manually is a hard work and improper process may destroy the perceptual quality. This problem has been largely ignored in traditional IQA which mainly focused on evaluating blur, noise and compression loss, etc. One bottleneck in this field is the lack of databases. Existing databases have very few distortion types...

chapter

An eye-friendly dual-view projection system using temporal psychovisual modulation

Wenbin Fang, Guangtao Zhai, Xiaokang Yang, Jing Liu, more

2017 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) > 1 - 5

2017 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

In this paper, we propose an enhanced projector using the emergent display technology of Temporal Psycho-Visual Modulation (TPVM) which exploits the difference in image formation mechanisms of human eyes and imaging sensors. The projector have two significant advantages compared to traditional projector: 1) parts of the information (e.g., speech notes) projected can be hidden from the audience but...

article

Demise of Late Triassic sponge mounds along the northwestern margin of the Yangtze Block, South China: Related to the Carnian Pluvial Phase?

Zhiqiang Shi, Nereo Preto, Haishui Jiang, Leopold Krystyn, more

Palaeogeography, Palaeoclimatology, Palaeoecology > 2017 > 474 > C > 247-263

Upper Triassic (Carnian) marine successions in the northwestern margin of Upper Yangtze Region (Sichuan Basin, China) show a lithological change from grey oolitic into a sponge-mound limestone (Units 1 and 2 of the lower member of the Ma'antang Formation), then overlain by greyish black to dark grey sandy shale and siltstone (Units 3 and 4 of the upper member of the Ma'antang Formation). Siliceous...

chapter

IVQAD 2017: An immersive video quality assessment database

Huiyu Duan, Guangtao Zhai, Xiaokang Yang, Duo Li, more

2017 International Conference on Systems, Signals and Image Processing (IWSSIP) > 1 - 5

2017 International Conference on Systems, Signals and Image Processing (IWSSIP)

This paper presents a new database, Immersive Video Quality Assessment Database 2017 (IVQAD 2017), intended for immersive video quality assessment in virtual reality environment. Video quality assessment (VQA) plays an important role in video research fields. Nowadays virtual reality technology have been widely used and playing videos in virtual reality visual system is becoming more and more popular...

article

Learning a no-reference quality metric for single-image super-resolution

Chao Ma, Chih-Yuan Yang, Xiaokang Yang, Ming-Hsuan Yang

Computer Vision and Image Understanding > 2017 > 158 > C > 1-16

Numerous single-image super-resolution algorithms have been proposed in the literature, but few studies address the problem of performance evaluation based on visual perception. While most super-resolution images are evaluated by full-reference metrics, the effectiveness is not clear and the required ground-truth images are not always available in practice. To address these problems, we conduct human...

INFONA - science communication portal

Search results for: Xiaokang Yang

Directional Texture Editing for 3D Models

Saliency-induced reduced-reference quality index for natural scene and screen content images

Arrow’s Impossibility Theorem inspired subjective image quality assessment approach

Adaptive Correlation Filters with Long-Term and Short-Term Memory for Object Tracking

Perceptual information hiding based on multi-channel visual masking

Deep Multimodal Distance Metric Learning Using Click Constraints for Image Ranking

No-Reference Quality Metric of Contrast-Distorted Images Based on Information Maximization

Visual attention analysis and prediction on human faces

Performance Guaranteed Network Acceleration via High-Order Residual Quantization

A self‐adaptive load‐dispatching control framework for device data accessing in IoT‐based systems

Deep hash learning for efficient image retrieval

Video Segmentation via Multiple Granularity Analysis

Recurrent Modeling of Interaction Context for Collective Activity Recognition

Dual-mode imaging system for non-contact heart rate estimation during night

IPAD: Intensity potential for adaptive de-quantization

Subjective and objective quality assessment for color changed images

An eye-friendly dual-view projection system using temporal psychovisual modulation

Demise of Late Triassic sponge mounds along the northwestern margin of the Yangtze Block, South China: Related to the Carnian Pluvial Phase?

IVQAD 2017: An immersive video quality assessment database

Learning a no-reference quality metric for single-image super-resolution

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