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View-invariant human action recognition via robust locally adaptive multi-view learning

Jia-geng FENG,Jun XIAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11,   Pages 917-920 doi: 10.1631/FITEE.1500080

Abstract: used in many applications, such as intelligent surveillance, perceptual interface, and content-based videoIn this paper, we present a multi-view learning approach to recognize human actions from different viewsAs most existing multi-view learning algorithms often suffer from the problem of lacking data adaptivenessin the nearest neighborhood graph construction procedure, a robust locally adaptive multi-view learningExperiments on three public view-invariant action recognition datasets, i.e., ViHASi, IXMAS, and WVU,

Keywords： View-invariant     Action recognition     Multi-view learning     L1-norm     Local learning    

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Paper evolution graph: multi-view structural retrieval for academic literature None

Dan-ping LIAO, Yun-tao QIAN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2,   Pages 187-205 doi: 10.1631/FITEE.1700105

Abstract:

Academic literature retrieval concerns about the selection of papers that are most likely to match a user’s information needs. Most of the retrieval systems are limited to list-output models, in which the retrieval results are isolated from each other. In this paper, we aim to uncover the relationships between the retrieval results and propose a method to build structural retrieval results for academic literature, which we call a paper evolution graph (PEG). The PEG describes the evolution of diverse aspects of input queries through several evolution chains of papers. By using the author, citation, and content information, PEGs can uncover various underlying relationships among the papers and present the evolution of articles from multiple viewpoints. Our system supports three types of input queries: keyword query, single-paper query, and two-paper query. The construction of a PEG consists mainly of three steps. First, the papers are soft-clustered into communities via metagraph factorization, during which the topic distribution of each paper is obtained. Second, topically cohesive evolution chains are extracted from the communities that are relevant to the query. Each chain focuses on one aspect of the query. Finally, the extracted chains are combined to generate a PEG, which fully covers all the topics of the query. Experimental results on a real-world dataset demonstrate that the proposed method can construct meaningful PEGs.

Keywords： Paper evolution graph     Academic literature retrieval     Metagraph factorization     Topic coherence    

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A multiscale-contour-based interpolation framework for generating a time-varying quasi-dense point cloud sequence

Chu-hua HUANG,Dong-ming LU,Chang-yu DIAO

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5,   Pages 422-434 doi: 10.1631/FITEE.1500316

Abstract: efficient framework to reconstruct 3D dynamic objects using a multiscale-contour-based interpolation from multi-viewtwo neighboring contours which belong to the same model, and two contours which belong to the same view

Keywords： Multi-view video     Free-viewpoint video     Point-pair     Multiscale-contour-based interpolation     Spatio-temporal-contour    

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Multi-View Point-Based Registration for Native Knee Kinematics Measurement with Feature Transfer Learning Article

Cong Wang, Shuaining Xie, Kang Li, Chongyang Wang, Xudong Liu, Liang Zhao, Tsung-Yuan Tsai

Engineering 2021, Volume 7, Issue 6,   Pages 881-888 doi: 10.1016/j.eng.2020.03.016

Abstract:

Deep-learning methods provide a promising approach for measuring in-vivo knee joint motion from fast registration of two-dimensional (2D) to three-dimensional (3D) data with a broad range of capture. However, if there are insufficient data for training, the data-driven approach will fail. We propose a feature-based transfer-learning method to extract features from fluoroscopic images. With three subjects and fewer than 100 pairs of real fluoroscopic images, we achieved a mean registration success rate of up to 40%. The proposed method provides a promising solution, using a learning-based registration method when only a limited number of real fluoroscopic images is available.

Keywords： 2D–3D registration     Machine learning     Domain adaption     Point correspondence    

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Lobectomy by video-assisted thoracoscopic surgery (VATS) for early stage of non-small cell lung cancer

Min ZHU, Xiang-Ning FU, Xiao-Ping CHEN

Frontiers of Medicine 2011, Volume 5, Issue 1,   Pages 53-60 doi: 10.1007/s11684-011-0121-2

Abstract:

Video-assisted thoracoscopic surgery (VATS) provides a new approach for treating early-stage lung

Keywords： non-small cell lung cancer     video-assisted thoracoscopic surgery     lobectomy    

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A reversibility-gain model for integer Karhunen-Loève transform design in video coding

Xing-guo ZHU,Lu YU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10,   Pages 883-891 doi: 10.1631/FITEE.1500071

Abstract: In this paper, a joint reversibility-gain (R-G) model is proposed for integer-KLT design in video coding‘gain’ means transform coding gain (TCG), which is a widely used criterion for transform design in video

Keywords： Integer transform     Karhunen-Loè     ve transform (KLT)     Integer-KLT     Transform coding     Video coding    

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Image analyses for video-based remote structure vibration monitoring system

Yang YANG,Xiong (Bill) YU

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 1,   Pages 12-21 doi: 10.1007/s11709-016-0313-6

Abstract: Video-based vibration measurement is a cost-effective way for remote monitoring the health conditionsBesides, video-based system is global measurement.The technical basis of video-based remote vibration measurement system is digital image analysis.further refinement of system hardware and image processing software, it will be developed into a remote video

Keywords： structure health monitoring     velocity estimation     frame difference     PIV     optical-flow method    

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Integrated energy view of wastewater treatment: A potential of electrochemical biodegradation

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 4, doi: 10.1007/s11783-021-1486-3

Abstract:

• Energy is needed to accelerate the biological wastewater treatment.

Keywords： Biological wastewater treatment     Integrated energy view     Electroactive bacteria     Extracellular electron    

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Scheme and Techniques for Hierarchical Oranization of Video

Zhang Yujin,Lu Haibin

Strategic Study of CAE 2000, Volume 2, Issue 3,   Pages 18-22

Abstract: Traditional video representation is just a time sequence——video stream, thus it is difficultfor computer to recognize or perceive video in the content level.To efficiently access and utilize video information, a suitable organization of video data is criticalThis paper proposes a video organization scheme, which arranges video into four layers： video programfor non-linear browsing and content-based retrieval of video data.

Keywords： video     organization     browsing     shot     episode     key frame     representative frame    

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To Hold the Economical Time of Biology，to Practicea Positive View of Happiness

Gan Ziheng

Strategic Study of CAE 2007, Volume 9, Issue 2,   Pages 5-11

Abstract: definition, classification and characteristic of biological economy, also, the importance of positive viewIt also discusses which views of happiness should be recommended and how to practice a positive view

Keywords： biological economy     happiness     positive view of happiness    

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Understand the local and regional contributions on air pollution from the view of human health impacts

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 5, doi: 10.1007/s11783-020-1382-2

Abstract:

• PM2.5-related deaths were estimated to be 227 thousand in BTH & surrounding regions.

Keywords： PM2.5     Regional transport     Local emissions     Health impact     Environmental inequality    

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River restoration challenges with a specific view on hydromorphology

Jianhua LI, Stephan HOERBINGER, Clemens WEISSTEINER, Lingmin PENG, Hans Peter RAUCH

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5,   Pages 1033-1038 doi: 10.1007/s11709-020-0665-9

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View and Comments on the Data Ecosystem: “Ocean of Data”

Zi-Kui Liu

Engineering 2020, Volume 6, Issue 6,   Pages 604-608 doi: 10.1016/j.eng.2020.04.009

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Layer-like FAU-type zeolites: A comparative view on different preparation routes

Bastian Reiprich, Tobias Weissenberger, Wilhelm Schwieger, Alexandra Inayat

Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 2,   Pages 127-142 doi: 10.1007/s11705-019-1883-3

Abstract: route for layer-like FAU, which appears very attractive from an ecological as well as economic point of view

Keywords： FAU     hierarchical zeolite     layer-like morphology    

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Shot classification and replay detection for sports video summarization Research Article

Ali JAVED, Amen ALI KHAN,ali.javed@uettaxila.edu.pk

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 5,   Pages 790-800 doi: 10.1631/FITEE.2000414

Abstract: Accurate is mandatory to better structure the input video for further processing, i.e., key events orFor this purpose, we propose local octa-pattern features to represent video frames and train the for

Keywords： Lightweight convolutional neural network     Local octa-patterns     Shot classification     Replay detection     Video    

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Title Author Date Type Operation

View-invariant human action recognition via robust locally adaptive multi-view learning

Jia-geng FENG,Jun XIAO

Journal Article

Paper evolution graph: multi-view structural retrieval for academic literature

Dan-ping LIAO, Yun-tao QIAN

Journal Article

A multiscale-contour-based interpolation framework for generating a time-varying quasi-dense point cloud sequence

Chu-hua HUANG,Dong-ming LU,Chang-yu DIAO

Journal Article

Multi-View Point-Based Registration for Native Knee Kinematics Measurement with Feature Transfer Learning

Cong Wang, Shuaining Xie, Kang Li, Chongyang Wang, Xudong Liu, Liang Zhao, Tsung-Yuan Tsai

Journal Article

Lobectomy by video-assisted thoracoscopic surgery (VATS) for early stage of non-small cell lung cancer

Min ZHU, Xiang-Ning FU, Xiao-Ping CHEN

Journal Article

A reversibility-gain model for integer Karhunen-Loève transform design in video coding

Xing-guo ZHU,Lu YU

Journal Article

Image analyses for video-based remote structure vibration monitoring system

Yang YANG,Xiong (Bill) YU

Journal Article

Integrated energy view of wastewater treatment: A potential of electrochemical biodegradation

Journal Article

Scheme and Techniques for Hierarchical Oranization of Video

Zhang Yujin,Lu Haibin

Journal Article

To Hold the Economical Time of Biology，to Practicea Positive View of Happiness

Gan Ziheng

Journal Article

Understand the local and regional contributions on air pollution from the view of human health impacts

Journal Article

River restoration challenges with a specific view on hydromorphology

Jianhua LI, Stephan HOERBINGER, Clemens WEISSTEINER, Lingmin PENG, Hans Peter RAUCH

Journal Article

View and Comments on the Data Ecosystem: “Ocean of Data”

Zi-Kui Liu

Journal Article

Layer-like FAU-type zeolites: A comparative view on different preparation routes

Bastian Reiprich, Tobias Weissenberger, Wilhelm Schwieger, Alexandra Inayat

Journal Article

Shot classification and replay detection for sports video summarization

Ali JAVED, Amen ALI KHAN,ali.javed@uettaxila.edu.pk

Journal Article