Computer Vision – ACCV 2016 Workshops
ACCV 2016 International Workshops, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part II
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Article
Unsupervised video-based action recognition using two-stream generative adversarial network
Video-based action recognition faces many challenges, such as complex and varied dynamic motion, spatio-temporal similar action factors, and manual labeling of archived videos over large datasets. How to extra...
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Chapter and Conference Paper
Object-Scale Adaptive Optical Flow Estimation Network
Current deep learning methods for optical flow estimation often use spatial feature pyramids to extract image features. To get the correlation between images, they directly compute the cost volume of the obtai...
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Chapter and Conference Paper
Uncertainty Inspired Underwater Image Enhancement
A main challenge faced in the deep learning-based Underwater Image Enhancement (UIE) is that the ground truth high-quality image is unavailable. Most of the existing methods first generate approximate referenc...
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Chapter and Conference Paper
Vehicle Re-identification Using Joint Pyramid Feature Representation Network
Vehicle re-identification (Re-ID) technology plays an important role in intelligent video surveillance systems. Due to various factors, e.g., resolution variation, viewpoint variation, illumination changes, o...
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Chapter and Conference Paper
Confusion-Aware Convolutional Neural Network for Image Classification
In image classification, it is often encountered that the decision boundaries of some image categories are ambiguous and easy to confuse with each other, thus yielding inferior accuracy on image classificatio...
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Book and Conference Proceedings
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Book and Conference Proceedings
Computer Vision – ACCV 2016 Workshops
ACCV 2016 International Workshops, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part III
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Book and Conference Proceedings
Computer Vision – ACCV 2016 Workshops
ACCV 2016 International Workshops, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part I
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Chapter and Conference Paper
Multiple Description Coding for Multi-view Video
In this paper, a novel multiple description coding (MDC) scheme for multi-view video coding (MVC) is proposed that can deliver higher coding efficiency. This is achieved by separating one description into two ...
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Chapter and Conference Paper
Face Detection Based on Multi-block Quad Binary Pattern
A novel local texture descriptor, called multi-block quad binary pattern (MB-QBP), is proposed in this paper. To demonstrate its effectiveness on local feature representation and potential usage in computer visio...
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Article
Video restoration and enhancement: algorithms and applications
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Article
A survey on super-resolution imaging
The key objective of super-resolution (SR) imaging is to reconstruct a higher-resolution image based on a set of images, acquired from the same scene and denoted as ‘low-resolution’ images, to overcome the limita...
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Article
Noise adaptive rational filter
A new rational filter (RF), called the noise adaptive rational filter (NARF), is developed for removing non-impulsive noise, such as Gaussian noise concerned in this paper. The optimal NARF, in the least mean-squ...
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Article
A state-space super-resolution approach for video reconstruction
The main objective of super-resolution video reconstruction is to make use of a set of low-resolution image frames to produce their respective counterparts with higher resolution. The conventional two-equation-ba...
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Article
Dilation-run wavelet image coding
The run-length coding and the morphological representation are two classical schemes for wavelet image coding. The run-length coders have the advantage of simplicity by recording the lengths of zero-runs betwe...
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Chapter and Conference Paper
Moving Video Object Edge Detection Using Complex Wavelets
In this paper, an unsupervised moving video object edge detection method based on the dual-tree complex wavelet transform (DT-CWT) domain is proposed, and its performance is compared with that of the discrete wav...
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Article
Multiple description wavelet coding with dual decomposition and cross packetization
In this paper, a novel wavelet-based multiple description coding (MDC) is proposed with dual decomposition (DD) and cross packetization (CP). Through dual decomposition, each description has two parts, the primar...
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Chapter and Conference Paper
Markov Chain Monte Carlo Super-Resolution Image Reconstruction with Simultaneous Adaptation of the Prior Image Model
In our recent work, the Markov chain Monte Carlo (MCMC) technique has been successfully exploited and shown as an effective approach to perform super-resolution image reconstruction. However, one major challenge ...
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Article
Spatio-Temporal Video Object Segmentation via Scale-Adaptive 3D Structure Tensor
To address multiple motions and deformable objects' motions encountered in existing region-based approaches, an automatic video object (VO) segmentation methodology is proposed in this paper by exploiting the ...
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Article
Watermark Detection and Extraction Using Independent Component Analysis Method
This paper proposes a new image watermarking technique, which adopts Independent Component Analysis (ICA) for watermark detection and extraction process (i.e., dewatermarking). Watermark embedding is performed in...
