Computer Vision – ACCV 2016 Workshops
ACCV 2016 International Workshops, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part II
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13 Result(s)
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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
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
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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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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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 ...
