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Encoding Spatial Context for Large-Scale Partial-Duplicate Web Image Retrieval

Journal of Computer Science & technology 2014年第5期29卷 837-848页

作者：周文罡李厚强卢亦娟田奇 Chinese Academy of Sciences Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Department of Electronic Engineering and Information Science University of Science and Technology of China Department of Computer Science Texas State UniversitySan Marcos TX 78666 U.S.A. MemberACMIEEE Department of Computer Science University of Texas at San AntonioSan Antonio TX 78249 U.S.A. Senior MemberIEEE

Many recent state-of-the-art image retrieval approaches are based on Bag-of-Visual-Words model and represent an image with a set of visual words by quantizing local SIFT（scale invariant feature transform） features. Feature quantization reduces the discriminative power of local features and unavoidably causes many false local matches between images, which degrades the retrieval accuracy. To filter those false matches, geometric context among visual words has been popularly explored for the verification of geometric consistency. However, existing studies with global or local geometric verification are either computationally expensive or achieve limited accuracy. To address this issue, in this paper, we focus on partialduplicate Web image retrieval, and propose a scheme to encode the spatial context for visual matching verification. An efficient affine enhancement scheme is proposed to refine the verification results. Experiments on partial-duplicate Web image search, using a database of one million images, demonstrate the effectiveness and efficiency of the proposed *** on a 10-million image database further reveals the scalability of our approach.

关键词： large-scale image retrieval spatial context coding spatial verification affine estimation

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A total suspended sediment retrieval model for multiple estuaries and coasts by Landsat imageries 4

A total suspended sediment retrieval model for multiple estu...

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4th International Workshop on Earth Observation and Remote Sensing applications, EORSA 2016

作者： Chongyang, Wang Dan, Li Danni, Wang Chen, Shuisen Wei, Liu Guangdong Open Laboratory of Geospatial Information Technology and Application Guangdong Key Lab. of Remote Sensing and Geographical Information System Technology Application Guangzhou Institute of Geography Chinese Academy of Sciences University of Chinese Academy of Sciences Guangzhou Beijing510070/5lO640 China Department of Resources and the Urban Planning Xin Hua College of Sun Yat-Sen University Guangzhou510520 China

ISBN: (纸本)9781509014798

Based on 119 in-situ data from five estuaries and coasts of South China including Xunwen coast, estuary of Moyangjiang River, estuary and coast of Pearl River, estuary of Hanjiang River and estuary of Yangtze River, this paper aims to develop and establish a TSS retrieval model that applicable in different field conditions. After recalibrating and validating the form with the highest correlation coefficient between reflectance and TSS concentration and other TSS retrieval models that have been successful applied in many places, we found that the quadratic model of the ratio of logarithmic transformation of red band and near infrared band and logarithmic transformation of TSS concentration (QRLTSS) shows the highest performance. QRLTSS model based on Landsat OLI, ETM+ and TM can explained about 71% of the TSS concentration variation (4.3∼577.2 mg/L) in the five regions and has a high and acceptable validation accuracy with root mean square error (RMSE) of 21.5-25mg/L and mean relative error (MRE) of 27.2-32.2%. We concluded that QRLTSS model can be used to quantify the TSS concentration of multiple estuaries and coasts of south China which would be helpful to understand the temporal and spatial variation of TSS in a large region. QRLTSS model should be applied to Landsat imagery for further validation in the future. The approach proposed in the paper also could promote the research work of establishing regional and uniform TSS retrieval model forward. © 2016 IEEE.

关键词： Estuaries

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Research on Spatiotemporal Evolution Law of Black and Odorous Water Body in Guangzhou City 7th

Research on Spatiotemporal Evolution Law of Black and Odorou...

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7th International Conference on Geoinformatics in Sustainable Ecosystem and Society, GSES 2019, and 1st International Conference on geospatial Artificial Intelligence for Urban Computing, GeoAI 2019

作者： Zhao, Qian Han, Liusheng Li, Yong Yang, Ji Wang, Shuxiang Zhu, Congjun Li, Yinguo Shandong University of Technology Zibo255000 China Guangdong Key Laboratory of Geospatial Information Technology and Application Guangzhou Institute of Geography Guangzhou510070 China State Grid Chongqing Yongchuan Power Supply Company YongchuanChongqing402106 China

ISBN: (纸本)9789811561054

The urban black and odorous water bodies affect the daily life of urban residents, destroy the aquatic ecosystem and damage the image of the city. This research used the evaluation method of black and odorous water body proposed by the Ministry of Housing and Urban-Rural Development of the People’s Republic of China (MOHURD) to evaluate the water quality of 50 key creeks (53 sections) in Guangzhou in 2016 and 2017 and analyzed the spatial distribution of black and odorous water bodies and their changes over time. The results showed that the water quality of Conghua District, Panyu District, Nansha District, and Yuexiu District was relatively good, while the water quality of Baiyun District, Haizhu District, Huadu District, Huangpu District, Liwan District, Tianhe District, and Zengcheng District was relatively poor. Compared with 2016, the water quality of creeks in Huangpu District and Baiyun District deteriorated in 2017, while the water quality of creeks in Tianhe District, Liwan District, and Huadu District improved. The water quality of creeks in other districts did not change significantly. In 2017, ammonia nitrogen (NH3-N), total phosphorus (TP), and chemical oxygen demand (COD) content decreased, and dissolved oxygen (DO) content increased compared to 2016. In 2017, the number of black-odor water bodies was greatly reduced, and the water quality of creeks was generally improved. The results can provide a reference for the treatment of the black and odorous creeks in Guangzhou. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Water quality

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application Design of Virtual Immersion Command information system 9

Application Design of Virtual Immersion Command Information ...

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9th International Conference on Big Data and information Analytics, BigDIA 2023

作者： Liu, Renjie Chen, Hongli Wang, Mingyang Zhu, Jian Zhang, Zhenqian Zhang, Ming Beijing Institute of Control and Electronic Technology Key Laboratory of Information System and Technology Beijing China China Industrial Control Systems Cyber Emergency Response Team Laboratory of Artificial Intelligence Integration Development and Security Application Beijing China

ISBN: (纸本)9798350330076

Based on the existing resources of general command information system, the virtually immersive display system is constructed. In this paper, the application design of virtual and augmented reality display system was discussed. The main contents included the overall system design, business requirements, application design of virtual reality (VR) and augmented reality (AR) table display system, expected results, and equipment selection. The deployment and application of VR and AR display system were introduced. Therefore, the hardware selection of VR and AR were HTC Vive and XLOOG X200 products, respectively. The Unreal Engine 4 was selected as the software development platform. This solution meets the current immersive display requirements. The system integrates VR and AR display application capabilities and can fully serve the command and control requirements in the future virtual field. © 2023 IEEE.

关键词： Virtual reality

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Transform-invariant convolutional neural networks for image classification and search 24

Transform-invariant convolutional neural networks for image ...

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24th ACM Multimedia Conference, MM 2016

作者： Shen, Xu Tian, Xinmei He, Anfeng Sun, Shaoyan Tao, Dacheng CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei Anhui230027 China Centre for Quantum Computation and Intelligent Systems Faculty of Engineering and Information Technology University of Technology SydneyNSW2007 Australia

ISBN: (纸本)9781450336031

Convolutional neural networks (CNNs) have achieved stateof-the-art results on many visual recognition tasks. However, current CNN models still exhibit a poor ability to be invariant to spatial transformations of images. Intuitively, with sufficient layers and parameters, hierarchical combinations of convolution (matrix multiplication and nonlinear activation) and pooling operations should be able to learn a robust mapping from transformed input images to transform-invariant representations. In this paper, we propose randomly transforming (rotation, scale, and translation) feature maps of CNNs during the training stage. This prevents complex dependencies of specific rotation, scale, and translation levels of training images in CNN models. Rather, each convolutional kernel learns to detect a feature that is generally helpful for producing the transforminvariant answer given the combinatorially large variety of transform levels of its input feature maps. In this way, we do not require any extra training supervision or modification to the optimization process and training images. We show that random transformation provides significant improvements of CNNs on many benchmark tasks, including small-scale image recognition, large-scale image recognition, and image retrieval. © 2016 ACM.

关键词： Mathematical transformations

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A Software Defect Location Method based on Static Analysis Results 9

A Software Defect Location Method based on Static Analysis R...

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9th International Conference on Dependable systems and Their applications, DSA 2022

作者： Shi, Haoxiang Liu, Wu Liu, Jingyu Ai, Jun Yang, Chunhui School of Reliability and System Engineering Beihang University Beijing China Fifth Electronic Research Institute of Miit Ministry of Industry and Information Technology Key Laboratory of Industrial Software Engineering Application Technology Guangzhou China

ISBN: (数字)9781665488778

ISBN: (纸本)9781665488778

Code-graph based software defect prediction methods have become a research focus in SDP field. Among them, Code Property Graph is used as a form of data representation for code defects due to its ability to characterize the structural features and dependencies of defect codes. However, since the coarse granularity of Code Property Graph, redundant information which is not related to defects often attached to the characterization of software defects. Thus, it is a problem to be solved in how to locate software defects at a finer granularity in Code Property Graph. Static analysis is a technique for identifying software defects using set defect rules, and there are many proven static analysis tools in the industry. In this paper, we propose a method for locating specific types of defects in the Code Property Graph based on the result of static analysis tool. Experiments show that the location method based on static analysis results can effectively predict the location of specific defect types in real software program. © 2022 IEEE.

关键词： Static analysis

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Software Operation Simulation Method based On Complex Network Game 9

Software Operation Simulation Method based On Complex Networ...

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9th International Conference on Dependable systems and Their applications, DSA 2022

作者： Huang, Xiaoying Yin, Rui Liu, Wu Zhang, Hong School of Reliability and System Engineering Beihang University Beijing China Fifth Electronic Research Institute of Miit Ministry of Industry and Information Technology Key Laboratory of Industrial Software Engineering Application Technology Guangzhou China

ISBN: (数字)9781665488778

ISBN: (纸本)9781665488778

The scale of software systems is becoming more and more complex, and the traditional software engineering evaluation methods are only limited to the structural characteristics of software systems, but lack the understanding of the operational characteristics. In this paper, we propose a method to obtain software internal operation path information based on complex network simulation, firstly, we extract the code information of the target software to obtain the complex network model of the software system, and then we propose an execution simulation method to obtain the control flow path and a parameter association simulation method to obtain the data flow relationship, and the two are combined to obtain more complete software operation path information. The experiment proves that the method can monitor the running status of the program in real time and reflect the real running situation of the software, which is important for the maintenance of the software. © 2022 IEEE.

关键词： Complex networks

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AN ANISOTROPIC SCATTERING ANALYSIS METHOD BASED ON LIKELIHOOD RATIO USING CIRCULAR SAR DATA

AN ANISOTROPIC SCATTERING ANALYSIS METHOD BASED ON LIKELIHOO...

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IEEE International Geoscience and Remote Sensing Symposium

作者： Fei Teng Wen Hong Yun Lin Bing Han Yanping Wang Wenjie Shen Shanshan Feng Key Laboratory of Technology in Geospatial Information Processing and Application System Chinese Academy of Sciences Beijing China North China University of Technology Beijing China

The scattering of an anisotropic target is aspect dependent. Circular SAR (CSAR) can observe the scattering behavior in different aspect angles. In this paper, we propose an anisotropy scattering analysis method based on the likelihood ratio using CSAR data. CSAR data is used to provide sub-aperture images in different aspect angles. The likelihood ratio is defined as the ratio of the conditional probability under two hypotheses, anisotropic and isotropic. Anisotropic and isotropic scatterings can be discriminated by the value of the likelihood ratio. The scattering direction of the anisotropic scattering can be obtained by using our method too. We use a C-band CSAR data, which is acquired by the Institute of Electronics, Chinese Academy of Sciences (IECAS) to validate our method.

关键词： Apertures Image color analysis Radar polarimetry Trajectory Optical imaging Optical scattering

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A Quantitative Measurement Method of Code Quality Evaluation Indicators based on Data Mining 9

A Quantitative Measurement Method of Code Quality Evaluation...

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9th International Conference on Dependable systems and Their applications, DSA 2022

作者： Shao, Yikang Liu, Wu Ai, Jun Yang, Chunhui School of Reliability and System Engineering Beihang University Beijing China Fifth Electronic Research Institute of Miit Key Laboratory of Industrial Software Engineering Application Technology Ministry of Industry and Information Technology Guangzhou China

ISBN: (数字)9781665488778

ISBN: (纸本)9781665488778

Software Code Quality Measurement is a systematic subject with a long history and rich theory. Since the 1960s, a large number of academic research on software code quality measurement methods have been generated. Many scholars have proposed software code quality measurement indicators and measurement methods, and given the measurement trend of evaluation indicators, and proposed a model to measure software quality. However, there are still some blanks in the quantitative evaluation of software code quality evaluation index. The software code quality measurement system is not complete enough to cover all aspects of software code quality from multiple perspectives. In addition, most studies have measured software code quality based on code inspection or code review, which has some limitations. This paper puts forward a software code quality evaluation system based on software network. On this basis, this paper proposes a quantitative measurement method of code quality evaluation indicators based on data mining. It provides a new idea for software quality evaluation or code quality evaluation. © 2022 IEEE.

关键词： Data mining

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TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images 1

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16th European Conference on Computer Vision, ECCV 2020

作者： Lin, Jianxin Pang, Yingxue Xia, Yingce Chen, Zhibo Luo, Jiebo CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei China Microsoft Research Asia Beijing China University of Rochester Rochester United States

ISBN: (数字)9783030585488

ISBN: (纸本)9783030585471

An unsupervised image-to-image translation (UI2I) task deals with learning a mapping between two domains without paired images. While existing UI2I methods usually require numerous unpaired images from different domains for training, there are many scenarios where training data is quite limited. In this paper, we argue that even if each domain contains a single image, UI2I can still be achieved. To this end, we propose TuiGAN, a generative model that is trained on only two unpaired images and amounts to one-shot unsupervised learning. With TuiGAN, an image is translated in a coarse-to-fine manner where the generated image is gradually refined from global structures to local details. We conduct extensive experiments to verify that our versatile method can outperform strong baselines on a wide variety of UI2I tasks. Moreover, TuiGAN is capable of achieving comparable performance with the state-of-the-art UI2I models trained with sufficient data. © 2020, Springer Nature Switzerland AG.

关键词： Generative adversarial networks

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