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2. A Review on Skeleton-Based Early Action Recognition

Author

Le, Kien Truc, Pham, Huy Hoang, Bui, Nam Anh, Lie, Wen Nung, Bui, Ngoc Dung, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Nguyen, Thi Dieu Linh, editor, Dawson, Maurice, editor, Ngoc, Le Anh, editor, and Lam, Kwok Yan, editor

Published
2024
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5. Estimating a 3D Human Skeleton from a Single RGB Image by Fusing Predicted Depths from Multiple Virtual Viewpoints †.

Author

Lie, Wen-Nung and Vann, Veasna

Subjects
*HUMAN skeleton, *COMPUTER vision, *DEEP learning, *FORECASTING
Abstract

In computer vision, accurately estimating a 3D human skeleton from a single RGB image remains a challenging task. Inspired by the advantages of multi-view approaches, we propose a method of predicting enhanced 2D skeletons (specifically, predicting the joints' relative depths) from multiple virtual viewpoints based on a single real-view image. By fusing these virtual-viewpoint skeletons, we can then estimate the final 3D human skeleton more accurately. Our network consists of two stages. The first stage is composed of a two-stream network: the Real-Net stream predicts 2D image coordinates and the relative depth for each joint from the real viewpoint, while the Virtual-Net stream estimates the relative depths in virtual viewpoints for the same joints. Our network's second stage consists of a depth-denoising module, a cropped-to-original coordinate transform (COCT) module, and a fusion module. The goal of the fusion module is to fuse skeleton information from the real and virtual viewpoints so that it can undergo feature embedding, 2D-to-3D lifting, and regression to an accurate 3D skeleton. The experimental results demonstrate that our single-view method can achieve a performance of 45.7 mm on average per-joint position error, which is superior to that achieved in several other prior studies of the same kind and is comparable to that of other sequence-based methods that accept tens of consecutive frames as the input. [ABSTRACT FROM AUTHOR]

Published
2024
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8. A Two-Stream Deep-Learning Network for Heart Rate Estimation From Facial Image Sequence

Author

Lie, Wen-Nung, Le, Dao Q., Huang, Po-Han, Fu, Guan-Hao, Nguyen Thi Quynh, Anh, and Nguyen Quang Nhu, Quynh

Abstract

This article presents a deep-learning-based two-stream network to estimate remote Photoplethysmogram (rPPG) signal and hence derive the heart rate (HR) from an RGB facial video. Our proposed network employs temporal modulation blocks (TMBs) to efficiently extract temporal dependencies and spatial attention blocks on a mean frame to learn spatial features. Our TMBs are composed of two subblocks that can simultaneously learn overall and channelwise spatiotemporal features, which are pivotal for the task. Data augmentation (DA) in training and multiple redundant estimations for noise removal in testing were also designed to make the training more effective and the inference more robust. Experimental results show that the proposed temporal shift-channelwise spatio-temporal network (TS-CST Net) has reached competitive and even superior performances among the state-of-the-art (SOTA) methods on four popular datasets, showcasing our network’s learning capability.

Published
2024
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10. Using Sparse-Point Disparity Estimation and Spatial Propagation to Construct Dense Disparity Map for Stereo Endoscopic Images

Author

Lie, Wen-Nung, Huang, Hsi-Hung, Huang, Shih-Wei, Liu, Kai-Che, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Paul, Manoranjan, editor, Hitoshi, Carlos, editor, and Huang, Qingming, editor

Published
2018
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12. All-Focus Image Fusion and Depth Image Estimation Based on Iterative Splitting Technique for Multi-focus Images

Author

Lie, Wen-Nung, Ho, Chia-Che, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Bräunl, Thomas, editor, McCane, Brendan, editor, Rivera, Mariano, editor, and Yu, Xinguo, editor

Published
2016
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14. Three Dimensional Panorama Visualization for Endoscopic Video

Author

Kumar, Atul, Wang, Yen-Yu, Liu, Kai-Che, Hung, Wan-Chi, Huang, Shih-Wei, Lie, Wen-Nung, Huang, Ching-Chun, MAGJAREVIC, Ratko, Editor-in-chief, Ładyzynsk, Piotr, Series editor, Ibrahim, Fatimah, Series editor, Lacković, Igor, Series editor, Rock, Emilio Sacristan, Series editor, Goh, James, editor, and Lim, Chwee Teck, editor

Published
2015
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15. Error Resilient Motion Estimation for Video Coding

Author

Lie, Wen-Nung, Gao, Zhi-Wei, Chen, Wei-Chih, Jui, Ping-Chang, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Chang, Long-Wen, editor, and Lie, Wen-Nung, editor

Published
2006
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16. Joint Source-Channel Video Coding Based on the Optimization of End-to-End Distortions

Author

Lie, Wen-Nung, Gao, Zhi-Wei, Liu, Tung-Lin, Jui, Ping-Chang, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Chang, Long-Wen, editor, and Lie, Wen-Nung, editor

Published
2006
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18. High Quality Novel View Synthesis Based on Low Resolution Depth Image and High Resolution Color Image

Author

Chiang, Jui-Chiu, Liu, Zheng-Feng, Lie, Wen-Nung, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Jiang, Xiaoyi, editor, Bellon, Olga Regina Pereira, editor, Goldgof, Dmitry, editor, and Oishi, Takeshi, editor

Published
2013
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19. Coding of Dynamic 3D Mesh Model for 3D Video Transmission

Author

Chiang, Jui-Chiu, Chen, Chun-Hung, Lie, Wen-Nung, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, and Ho, Yo-Sung, editor

Published
2012
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20. 2D to 3D Image Conversion Based on Classification of Background Depth Profiles

Author

Lin, Guo-Shiang, Liu, Han-Wen, Chen, Wei-Chih, Lie, Wen-Nung, Huang, Sheng-Yen, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, and Ho, Yo-Sung, editor

Published
2012
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21. Enhanced Side Information Generator with Accurate Evaluations in Block-Based Wyner-Ziv Video Coding

Author

Lee, Chang-Ming, Chiang, Jui-Chiu, Chiang, Zhi-Heng, Chen, Kuan-Liang, Lie, Wen-Nung, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Wada, Toshikazu, editor, Huang, Fay, editor, and Lin, Stephen, editor

Published
2009
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23. Pitching Shot Detection Based on Multiple Feature Analysis and Fuzzy Classification

Author

Lie, Wen-Nung, Lin, Guo-Shiang, Cheng, Sheng-Lung, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Zhuang, Yueting, editor, Yang, Shi-Qiang, editor, Rui, Yong, editor, and He, Qinming, editor

Published
2006
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24. News Video Summarization Based on Spatial and Motion Feature Analysis

Author

Lie, Wen-Nung, Lai, Chun-Ming, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Aizawa, Kiyoharu, editor, Nakamura, Yuichi, editor, and Satoh, Shin’ichi, editor

Published
2005
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42. Video error concealment by integrating greedy suboptimization and Kalman filtering techniques

Author

Lie, Wen-Nung and Gao, Zhi-Wei

Subjects
Algorithms -- Methods, Dynamic programming -- Analysis, Error-correcting codes -- Analysis, Kalman filtering -- Analysis, Algorithm, Business, Computers, Electronics, Electronics and electrical industries
Abstract

This paper addresses video error concealment techniques, focusing on motion vector recovery of P- and B-frames, to improve the decoded quality of videos when bit stream data incurs transmission errors. First, we propose a dynamic programming (DP) technique to optimize the path cost in a multistage topology and evaluate the goodness of boundary matching and side smoothness of recovered macroblocks. However, due to the high computational complexity of DP, a suboptimal alternative enhanced with an adaptive Kalman filtering algorithm is adopted instead. Experiments show that by considering the side smoothness between adjacent recovered MBs, the proposed algorithm improves the reconstructed video quality by about 0.4-0.9 dB with a packet loss rate up to 15%, compared to a traditional boundary matching algorithm. In addition, subjective image inspection demonstrates the efficiency of the proposed algorithm in retaining the continuity of lines and image details. Index Terms--Boundary matching algorithm (BMA), dynamic programming (DP), greedy algorithm, Kalman filtering, video error concealment, video error resilience.

Published
2006

43. Enhancing video error resilience by using data-embedding techniques

Author

Lie, Wen-Nung, Lin, Tom C.-I., and Lin, Chia-Wen

Subjects
Image coding -- Methods, Error recovery -- Analysis, Error handling, Business, Computers, Electronics, Electronics and electrical industries
Abstract

In this paper, error-resilient video coding schemes based on data-embedding techniques are proposed for the H.263+ codec. Data embedding, popularly applied to secret hiding and digital watermarking, is now used to convey error recovery information to the decoder via a covert channel, without causing significant increase in transmission bitrate. Our embedded information provides implicit macroblock (MB) delimiters for resynchronization in presence of channel errors. In this way, the decoder is capable of isolating erroneous MBs with the extracted information. A set of variational schemes is proposed, extensively analyzed, and compared to the competitive counterparts (e.g., the original H.263+ TMN8 and its synchronization-enhanced version) at the same bitrate. Experimental results show that our data embedding process decreases the average peak signal-to-noise ratio (PSNR) in error-free conditions by 0.3 dB (light data embedding) to 1.8 dB (heavy data embedding), but it is capable of achieving a significant PSNR improvement up to 2 and 9.5 dB when the bit error rate is [10.sup.-5] and [10.sup.-3], respectively. We also provide suggestions of how to adaptively apply the proposed schemes for different channel error conditions and different video contents. Index Terms--Data embedding, error resilience, H.263+, resynchronization.

Published
2006

47. Deep-Learning Technique for Risk-Based Action Prediction Using Extremely Low-Resolution Thermopile Sensor Array

Author

Morawski, Igor, Lie, Wen-Nung, Aing, Lee, Chiang, Jui-Chiu, and Chen, Kuan-Ting

Abstract

Eldering caring is important in today’s aging society, especially that accident anticipation/prevention plays an important role. In this paper, a novel approach to preventing elderly accidents based on a very low-resolution thermopile sensor array (TPA) (only $32\times 32$ pixels) is proposed for prediction of bed-exit event that might lead to elderly falls in home caring. Low-resolution TPA sensor, capable of collecting far infrared energy, ensures cost-effective monitoring, no interference with user’s daily life, and most importantly privacy-preservation. Since most of the fall accidents occur when the elderly attempts to get off the bed without assistance, it is thus the focus of this paper to monitor his/her posture and action via TPA image sensor and then predict that an action of getting off the bed will occur in a near future (e.g., $S$ seconds later). Our system can raise an alarm to the caregivers so that they can intervene and offer the necessary assistance. A deep-learning model based on CNN-RNN (Convolutional neural network-Recurrent neural network) architecture was designed which is capable of predicting the elderly bed-exit intention by $S =5.78$ seconds in advance of the action onset at an accuracy of 99.37% according to our dataset evaluation. Our system is also suitable for on-line real-time operation which will be helpful to elderly caring in our society.

Published
2023
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