36 Result(s)
within
**hai Yu
Computer Science
Multimedia Information Systems
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Article
(k, n) threshold secret image sharing scheme based on Chinese remainder theorem with authenticability
In the traditional secret image sharing (SIS) scheme, the secret image is divided into several noise-like shares, which lack authentication and may attract the attention of malicious users. Therefore, the auth...
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Article
DBA-UNet: a double U-shaped boundary attention network for maxillary sinus anatomical structure segmentation in CBCT images
Accurate identification of the maxillary sinus and maxillary sinus septum on cone beam computed tomography (CBCT) is essential for appropriate surgical methods. However, the large-scale gap and the prior knowl...
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Article
\(\hbox {ABDF}^{2}\) -Net: an adaptive bi-directional features fusion network for real-time detection of threat object
To achieve automatic detection of threat objects for X-ray baggage screening, we propose an adaptive bi-directional features fusion network ( $...
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Article
An ultrahigh-resolution image encryption algorithm using random super-pixel strategy
Almost all existing image encryption algorithms are only suitable for low-resolution images in the standard image library. When they are used to encrypt high-resolution images, they will inevitably suffer from...
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Article
AFTD-Net: real-time anchor-free detection network of threat objects for X-ray baggage screening
X-ray baggage screening is a vitally important task to detect all kinds of threat objects at controlled access positions, which can prevent crime and guard personal safety. It is generally performed by screene...
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Article
An automated detection model of threat objects for X-ray baggage inspection based on depthwise separable convolution
X-ray baggage inspection is an essential task to detect threat objects at important controlled access places, which can guard personal safety and prevent crime. Generally, it is carried out by screeners to vis...
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Article
A novel compressive sensing-based framework for image compression-encryption with S-box
In this paper, we find that compressive sensing (CS) with the chaotic measurement matrix has a strong sensitivity to plaintext. Because of the quantification executed after CS, however, the plaintext sensitivi...
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Article
Real-time attacks on robust watermarking tools in the wild by CNN
Robust watermarking is a widely used technology to protect image copyright. Robustness, the ability to resist various distortions, is the most important property of robust watermarking algorithm. So to improve...
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Article
Object and patch based anomaly detection and localization in crowded scenes
Detecting and localizing anomalies in crowded scenes is an ongoing challenge for public security. Existing approaches are mainly based on patches and trajectories. However, they fall short in semantic understa...
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Article
Efficient protection using chaos for Context-Adaptive Binary Arithmetic Coding in H.264/Advanced Video Coding
Recently, video encryption has been widely investigated to enhance the protection for video data, yet the encryption efficiency may not be considered sufficiently so that some encryption schemes are unsuitable...
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Article
A robust image watermarking scheme in DCT domain based on adaptive texture direction quantization
This paper proposes a novel robust image watermarking scheme in Discrete Cosine Transform (DCT) domain for active forensics. We investigate the relation between the positions and the modification magnitudes of...
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Article
Side Channel Steganalysis: When Behavior is Considered in Steganographer Detection
This paper intents to solve the challenging problem of steganographer detection in the real world from a new perspective: side channel attack. We propose utilizing the behavior of actors in the social network ...
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Article
A no-reference quality assessment for contrast-distorted image based on improved learning method
No-reference image quality assessment (NR-IQA), which aims to predict image quality without accessing to reference images, is a fundamental and challenging problem in the field of image processing. Nevertheles...
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Article
Which gray level should be given the smallest cost for adaptive steganography?
Currently, the most successful approach to steganography in digital image is distortion-minimization framework, which reduces the steganographers’ work to the design of distortion function with the aid of prac...
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Article
A ROI-based high capacity reversible data hiding scheme with contrast enhancement for medical images
In this paper, we attempt to investigate the secure archiving of medical images which are stored on semi-trusted cloud servers, and focus on addressing the complicated and challenging integrity control and pri...
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Article
Reversible data hiding for 3D mesh models with three-dimensional prediction-error histogram modification
This study proposes a reversible data hiding (RDH) algorithm for 3D mesh models based on the optimal three-dimensional prediction-error histogram (PEH) modification with recursive construction coding (RCC). Fi...
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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...
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Article
Optimal structural similarity constraint for reversible data hiding
Until now, most reversible data hiding techniques have been evaluated by peak signal-to-noise ratio(PSNR), which based on mean squared error(MSE). Unfortunately, MSE turns out to be an extremely poor measure w...
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Article
Unified entropy-based sorting for reversible data hiding
Reversible data hiding schemes compete against each other for a sharply distributed prediction error histogram, usually realized by utilizing prediction strategies together with sorting technique that aims to ...
