Pub Date : 2017-10-01DOI: 10.1109/ICVRV.2017.00106
Yongcheng Wei, Rushi Lan, T. Gu, Huadeng Wang, Xiaonan Luo
Surface reconstruction of 3D objects from 2D cross-sections has wide applications in surface modeling and biomedical image analysis. This paper considers the problem through a new recurrence images method based on the recurrence curves. According to the properties of basis functions of recurrence curves, some important properties of recurrence images are proposed. Giving the feature matrix that represents curves on planar cross-sections and the variation of parameters in the new algorithm, the desired contours will be obtained and then the 3D surface can be constructed. 3D surface of the blood vessel is reconstructed to demonstrate the effectiveness of the proposed method.
{"title":"Surface Reconstruction of Blood Vessel from 2D Cross-Sections with Recurrence Images","authors":"Yongcheng Wei, Rushi Lan, T. Gu, Huadeng Wang, Xiaonan Luo","doi":"10.1109/ICVRV.2017.00106","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00106","url":null,"abstract":"Surface reconstruction of 3D objects from 2D cross-sections has wide applications in surface modeling and biomedical image analysis. This paper considers the problem through a new recurrence images method based on the recurrence curves. According to the properties of basis functions of recurrence curves, some important properties of recurrence images are proposed. Giving the feature matrix that represents curves on planar cross-sections and the variation of parameters in the new algorithm, the desired contours will be obtained and then the 3D surface can be constructed. 3D surface of the blood vessel is reconstructed to demonstrate the effectiveness of the proposed method.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121967400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICVRV.2017.00071
GU Zhen-jiang, K. Yong, Su Xi-Sheng, He De-fu, Yang Bai-xue, Ding Wei
Wargaming in the modern sense is a kind of simulation countermine system base on modern information technology, it has been widely used around the world in military training and decision-making analysis. This paper started from the development history and research status of wargaming, then expounded the application of wargaming in military decision-making, material consumption forecasts and logistics training, in the last part of the paper, the authors put forward the research ideas of military logistical wargaming system under current conditions.
{"title":"The Application of Wargaming in the Field of Military Logistics","authors":"GU Zhen-jiang, K. Yong, Su Xi-Sheng, He De-fu, Yang Bai-xue, Ding Wei","doi":"10.1109/ICVRV.2017.00071","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00071","url":null,"abstract":"Wargaming in the modern sense is a kind of simulation countermine system base on modern information technology, it has been widely used around the world in military training and decision-making analysis. This paper started from the development history and research status of wargaming, then expounded the application of wargaming in military decision-making, material consumption forecasts and logistics training, in the last part of the paper, the authors put forward the research ideas of military logistical wargaming system under current conditions.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124854247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICVRV.2017.00119
Min Li, Hong Xie
In recent years, precision guided weapons have been widely used for its irreplaceable advantages, and infrared guidance is one of the most important components. In this paper, the characteristics of the medium and long wave infrared images are analyzed. Considering the composition of the infrared radiation, starting from speeding up the algorithm, an infrared image generation method is proposed to get infrared images in different bands. In this method, the theoretical temperature is used to improve the algorithm running speed instead of the actual temperature. The comparison experiment shows that the method proposed in this paper can improve the reality of the simulation, and explore a new method of band expansion for infrared images, which is an effective method.
{"title":"An Infrared Image Band Expansion Method Based on Measured Data","authors":"Min Li, Hong Xie","doi":"10.1109/ICVRV.2017.00119","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00119","url":null,"abstract":"In recent years, precision guided weapons have been widely used for its irreplaceable advantages, and infrared guidance is one of the most important components. In this paper, the characteristics of the medium and long wave infrared images are analyzed. Considering the composition of the infrared radiation, starting from speeding up the algorithm, an infrared image generation method is proposed to get infrared images in different bands. In this method, the theoretical temperature is used to improve the algorithm running speed instead of the actual temperature. The comparison experiment shows that the method proposed in this paper can improve the reality of the simulation, and explore a new method of band expansion for infrared images, which is an effective method.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130128406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICVRV.2017.00095
Xu Liu, Yongcheng Huang, Li Song, Rong Xie, Xiaokang Yang
This paper presents a set of 12 new 8K resolution ultra-high definition (UHD) 360-degree immersive video sequences. This video sequences can satisfy the enhancing requirements of the researches on UHD 360-degree immersive video, such as next-generation video encoding research. In this paper, the processing and characteristics of the video sequences are illustrated.
{"title":"The SJTU UHD 360-Degree Immersive Video Sequence Dataset","authors":"Xu Liu, Yongcheng Huang, Li Song, Rong Xie, Xiaokang Yang","doi":"10.1109/ICVRV.2017.00095","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00095","url":null,"abstract":"This paper presents a set of 12 new 8K resolution ultra-high definition (UHD) 360-degree immersive video sequences. This video sequences can satisfy the enhancing requirements of the researches on UHD 360-degree immersive video, such as next-generation video encoding research. In this paper, the processing and characteristics of the video sequences are illustrated.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121738428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICVRV.2017.00094
Zilong Zhang, Xun Luo, Salazar Vaca María Gabriela, Espinoza Castro Danny Alberto, Yi Chen
As a result of the continuous evolution of virtual reality, using game engine for VR systems development is becoming popular. Rendering the geometrical components in a VR scene such as complex terrain, dense vegetation, building details etc. is a substantial computation task. Typical scene optimization methods include memory allocation, multi-threading, and Levels of Details (LOD). In this paper we experiment to address the challenge of vegetation rendering using a combination of optimization approaches. Experiments in the Unreal game engine show our approaches’ efficacy. Through parallel rendering, the rendering time is reduced by 50%. With LOD, the rendering speed of the scene has been improved by as much as 25%. The LOD transformation is processed frame-by-frame and is essentially seamless as it carries out an efficient rendering pass. Finally, by using the culling algorithm, and setting the attenuation distance and setting the attenuation range, the rendering efficiency is further optimized.
{"title":"Vegetation Rendering Optimization for Virtual Reality Systems","authors":"Zilong Zhang, Xun Luo, Salazar Vaca María Gabriela, Espinoza Castro Danny Alberto, Yi Chen","doi":"10.1109/ICVRV.2017.00094","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00094","url":null,"abstract":"As a result of the continuous evolution of virtual reality, using game engine for VR systems development is becoming popular. Rendering the geometrical components in a VR scene such as complex terrain, dense vegetation, building details etc. is a substantial computation task. Typical scene optimization methods include memory allocation, multi-threading, and Levels of Details (LOD). In this paper we experiment to address the challenge of vegetation rendering using a combination of optimization approaches. Experiments in the Unreal game engine show our approaches’ efficacy. Through parallel rendering, the rendering time is reduced by 50%. With LOD, the rendering speed of the scene has been improved by as much as 25%. The LOD transformation is processed frame-by-frame and is essentially seamless as it carries out an efficient rendering pass. Finally, by using the culling algorithm, and setting the attenuation distance and setting the attenuation range, the rendering efficiency is further optimized.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125107331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, we propose a low complexity Hybrid View Synthesis Optimization (HVSO) scheme for 3D extension of high efficiency video coding (3D-HEVC). In particular, based on the analyses regarding the impact of depth map compression on the quality of synthesized view rendering, we locally classify the coding tree units (CTUs) of depth map into two categories, including synthesized view distortion change (SVDC) based and view synthesis distortion estimation (VSDE) based CTUs. This allows us to dynamically distinguish the rate-distortion optimization process of these CTUs and obtain the synthesized view distortion of the VSDE based ones in a high efficiency way. More specifically, a new interpolation-based distortion estimation algorithm dedicated for VSDE based CTUs is proposed such that the actual view rendering process can be successfully avoided. In this manner, a good trade-off between the rate-distortion performance and computational complexity in depth map compression is achieved. Experimental results show that with our proposed HVSO method, 75% of the computational complexity on average can be saved for the view synthesis optimization process with only 1.6% BD-rate loss compared with the state-of-the-art scheme in the 3D-HEVC platform.
{"title":"Low Complexity Hybrid View Synthesis Optimization for 3D-HEVC","authors":"Songchao Tan, Siwei Ma, Shiqi Wang, Shanshe Wang, Wen Gao","doi":"10.1109/ICVRV.2017.00045","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00045","url":null,"abstract":"In this paper, we propose a low complexity Hybrid View Synthesis Optimization (HVSO) scheme for 3D extension of high efficiency video coding (3D-HEVC). In particular, based on the analyses regarding the impact of depth map compression on the quality of synthesized view rendering, we locally classify the coding tree units (CTUs) of depth map into two categories, including synthesized view distortion change (SVDC) based and view synthesis distortion estimation (VSDE) based CTUs. This allows us to dynamically distinguish the rate-distortion optimization process of these CTUs and obtain the synthesized view distortion of the VSDE based ones in a high efficiency way. More specifically, a new interpolation-based distortion estimation algorithm dedicated for VSDE based CTUs is proposed such that the actual view rendering process can be successfully avoided. In this manner, a good trade-off between the rate-distortion performance and computational complexity in depth map compression is achieved. Experimental results show that with our proposed HVSO method, 75% of the computational complexity on average can be saved for the view synthesis optimization process with only 1.6% BD-rate loss compared with the state-of-the-art scheme in the 3D-HEVC platform.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131377350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICVRV.2017.00044
Yao-feng Xue, Shang Gao, Huali Sun, Wei Qin
As an application of Gesture Recognition, Sign Language Recognition (SLR) is able to facilitate those who want to learn a manual communication system and makes it practicable for the majority of normal people, who are ignorant of sign language, to communicate with the group suffering from dysaudia and vice versa. In this paper, focusing on feasibility, we present a Chinese Sign Language (CSL) recognition system using the portable and cost-affordable Leap Motion sensor and applying kth-Nearest Neighbor (k-NN). Simultaneously, by introducing text to speech, speech synthesis and speech recognition (speech to text) APIs, we bring out a novel design of two-way communication system between normal people and hearing-impaired communities. The experiment result shows that such a CSL recognition system, which currently achieved static sign language interpretation with high accuracy, is able to play a much more significant role in this field.
手语识别(Sign Language Recognition, SLR)是手势识别技术的一种应用，它可以帮助那些想要学习手语交流系统的人，也可以让大多数不懂手语的正常人与听障人群进行交流，反之亦然。本文从可行性的角度出发，提出了一种基于k-最近邻(k-NN)的便携式Leap Motion传感器的中文手语识别系统。同时，通过引入文本到语音(text to speech)、语音合成(speech to text)和语音识别(speech to text) api，提出了一种正常人与听障群体双向交流系统的新设计。实验结果表明，目前实现了高精度静态手语翻译的CSL识别系统能够在该领域发挥更大的作用。
{"title":"A Chinese Sign Language Recognition System Using Leap Motion","authors":"Yao-feng Xue, Shang Gao, Huali Sun, Wei Qin","doi":"10.1109/ICVRV.2017.00044","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00044","url":null,"abstract":"As an application of Gesture Recognition, Sign Language Recognition (SLR) is able to facilitate those who want to learn a manual communication system and makes it practicable for the majority of normal people, who are ignorant of sign language, to communicate with the group suffering from dysaudia and vice versa. In this paper, focusing on feasibility, we present a Chinese Sign Language (CSL) recognition system using the portable and cost-affordable Leap Motion sensor and applying kth-Nearest Neighbor (k-NN). Simultaneously, by introducing text to speech, speech synthesis and speech recognition (speech to text) APIs, we bring out a novel design of two-way communication system between normal people and hearing-impaired communities. The experiment result shows that such a CSL recognition system, which currently achieved static sign language interpretation with high accuracy, is able to play a much more significant role in this field.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"51 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127997300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICVRV.2017.00013
Yiming Zhang, Xiangyun Xiao, Xubo Yang
The object detection for 360-degree panoramic images is widely applied in many areas such as automatic driving, navigation of drones and driving assistance. Most of state-of-the-art approaches for detecting objects in ordinary images cannot work well on the object detection for 360-degree panoramic images. As a 360-degree panoramic image can be considered as a 2D image which is the result of a 360-degree panoramic sphere being expanded along the longitude line, objects in it will be twisted or divided apart and the detection will be more difficult. In this paper, we present a real-time object detection system for 360-degree panoramic images using convolutional neural network (CNN). We adopt a CNN-based detection framework for object detection with a post-processing stage to fine-tune the result. Additionally, we propose a novel method to reuse those exisiting datasets of ordinary images, e.g., the ImageNet and PASCAL VOC, in the object detection for 360-degree panoramic images. We will demonstrate with several examples that our method yields higher accuracy and recall rate than traditional methods in object detection for 360-degree panoramic images.
{"title":"Real-Time Object Detection for 360-Degree Panoramic Image Using CNN","authors":"Yiming Zhang, Xiangyun Xiao, Xubo Yang","doi":"10.1109/ICVRV.2017.00013","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00013","url":null,"abstract":"The object detection for 360-degree panoramic images is widely applied in many areas such as automatic driving, navigation of drones and driving assistance. Most of state-of-the-art approaches for detecting objects in ordinary images cannot work well on the object detection for 360-degree panoramic images. As a 360-degree panoramic image can be considered as a 2D image which is the result of a 360-degree panoramic sphere being expanded along the longitude line, objects in it will be twisted or divided apart and the detection will be more difficult. In this paper, we present a real-time object detection system for 360-degree panoramic images using convolutional neural network (CNN). We adopt a CNN-based detection framework for object detection with a post-processing stage to fine-tune the result. Additionally, we propose a novel method to reuse those exisiting datasets of ordinary images, e.g., the ImageNet and PASCAL VOC, in the object detection for 360-degree panoramic images. We will demonstrate with several examples that our method yields higher accuracy and recall rate than traditional methods in object detection for 360-degree panoramic images.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131962141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICVRV.2017.00090
Z. Geng, Y. Qiao
A speeded up robust feature descriptors and matching algorithm based on brightness order is designed to overcome the problems of precision and robustness of the original SURF algorithm. Pixels are sorted and segmented according to gray values in the features support region. By establishing an index table, each segment of the pixel is represented to form a descriptor, and each segment of the descriptor is serially connected to form a feature descriptor which is used to match the image. The experimental results show that the proposed method is more higher matching accuracy, and better robustness to linear or nonlinear illumination changes compared with SURF.
{"title":"An Improved Illumination Invariant SURF Image Feature Descriptor","authors":"Z. Geng, Y. Qiao","doi":"10.1109/ICVRV.2017.00090","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00090","url":null,"abstract":"A speeded up robust feature descriptors and matching algorithm based on brightness order is designed to overcome the problems of precision and robustness of the original SURF algorithm. Pixels are sorted and segmented according to gray values in the features support region. By establishing an index table, each segment of the pixel is represented to form a descriptor, and each segment of the descriptor is serially connected to form a feature descriptor which is used to match the image. The experimental results show that the proposed method is more higher matching accuracy, and better robustness to linear or nonlinear illumination changes compared with SURF.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132483530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICVRV.2017.00032
Lanling Zeng, Lingling Zhang, Yang Yang, Baoan Yang, Yongzhao Zhan
Plants show different beauty since the leaves and structures are in a variety of colors, shapes, sizes and texture in our vision. Thus, noise and edge bonding in plant modeling reconstruction are highly challenging. In order to separate the adhesive and gain ideal point cloud, we present a method of limited detail multi-density point reconstruction. The core of proposed method is a point-to-surface approach, which constantly refines the density of points so as to generate the fuzzy surface. Comparing with traditional mesh reconstruction, our method can solve the problem of adhesion between the branches and leaves. Results show that the limited detail multi-density point reconstruction is feasible, and as well as good effect and fast speed.
{"title":"Plants Modeling Based on Limited Points","authors":"Lanling Zeng, Lingling Zhang, Yang Yang, Baoan Yang, Yongzhao Zhan","doi":"10.1109/ICVRV.2017.00032","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00032","url":null,"abstract":"Plants show different beauty since the leaves and structures are in a variety of colors, shapes, sizes and texture in our vision. Thus, noise and edge bonding in plant modeling reconstruction are highly challenging. In order to separate the adhesive and gain ideal point cloud, we present a method of limited detail multi-density point reconstruction. The core of proposed method is a point-to-surface approach, which constantly refines the density of points so as to generate the fuzzy surface. Comparing with traditional mesh reconstruction, our method can solve the problem of adhesion between the branches and leaves. Results show that the limited detail multi-density point reconstruction is feasible, and as well as good effect and fast speed.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134530143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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