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Real-time visualization of 3D city models at street-level based on visual saliency

Science China Earth Sciences 2015年第3期58卷 448-461页

作者： MAO Bo BAN YiFang Lars HARRIE Jiangsu Provincial Key Laboratory of E-Business Nanjing University of Finance and Economics College of Computer Science and Engineering Nanjing University of Science and Technology Department of Urban Planning and Environment KTH Royal Institute of TechnologySE-10044 StockholmSweden Department of Physical Geography and Ecosystem Science Lund UniversityBox118SE-223 62 LundSweden

Street-level visualization is an important application of 3D city *** to street-level visualization include the cluttering of buildings due to fine detail and visualization *** this paper,a novel method is proposed for streetlevel visualization based on visual saliency *** basic idea of the method is to preserve these salient buildings in a scene while removing those that are *** method can be divided into pre-processing procedures and real-time *** first step in pre-processing is to convert 3D building models at higher Levels of Detail(Lo Ds) into LoD 1 models with simplified ground ***,a number of index viewpoints are created along the streets; these indices refer to both the position and the direction of each street site.A visual saliency value is computed for each building,with respect to the index site,based on a visual difference between the original model and the generalized *** calculate and evaluate three methods for visual saliency:local difference,global difference and minimum projection *** real-time visualization process begins by mapping the observer to its closest *** street view is then generated based on the building information stored in those indexes.A user study shows that the local visual saliency method performs better than do the global visual saliency,area and image-based methods and that the framework proposed in this paper may improve the performance of 3D visualization.

关键词： 3D city models street level visualization index viewpoints visual saliency

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A Novel visual saliency Guided High Resolution Remote Sensing Image Change Detection Algorithm

A Novel Visual Saliency Guided High Resolution Remote Sensin...

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2015 5th International Conference on Computer Sciences and Automation Engineering(ICCSAE 2015)

作者： Qigejian Wang Xinyu Zhang Huazhong University of Science and Technology Graduate School of Art and Science (Statistics) Columbia University

This paper presents a novel visual saliency guided high resolution remote sensing image change detection（CD） algorithm. This approach is based on closed-loop process made up of the three procedures.（1） Generating the difference image as the foundation for further processing;（2） Use the modified saliency extraction algorithm to select the regions with higher attractiveness;（3） Adopt the revised fuzzy clustering to finalize the real changed regions（RCR）. Our algorithm could fuse the traditional change analysis patterns with the saliency prior which could enhance the overall efficiency. Experiments carried out on the different sets of high resolution multi-temporal images acquired by the satellite. The experimental result shows that our method could achieve better performance.

关键词： visual saliency Remote Sensing Change Detection High Resolution Image

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Object Proposal with Modified Edge Boxes Based on visual saliency

Object Proposal with Modified Edge Boxes Based on Visual Sal...

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第19届中国系统仿真技术及其应用学术年会

作者： Zhao Hao Wang Ji-kai 陈宗海 Zhang Hua Department of Automation University of Science and Technology of China School of Information Engineering Southwest University of Science and Technology

As a significant pre-processing of object detection tasks,the object proposal aims to generate the candidate bounding boxes which are likely to contain objects in an *** balance the tension between the computational cost and the detection accuracy,we propose a modified Edge Boxes based on the visual saliency ***,we obtain the saliency map via the Graph-based Manifold Ranking(GMR) ***,the region saliency is incorporated into the edge responses,which provides strong guidance for selecting and evaluating the ***,we design a new metric to measure the performance of the output bounding *** experimental results from the BSRsds 500 dataset demonstrate that the bounding boxes generated by our method are more *** bounding boxes’ tightness is obviously *** detection rate is promoted from 82.1%to 91.8%and the average IOU goes up 4.19%from 77.05%to 81.24%.

关键词： Object Proposal visual saliency Weighting Edge Boxes

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saliency-Based Fidelity Adaptation Preprocessing for Video Coding

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Journal of Computer Science & Technology 2011年第1期26卷 195-202页

作者：卢少平张松海 Department of Computer Science and Technology Tsinghua University Beijing Engineering Research Center for Intelligent Processing of visual Media and Content Security

In this paper, we present a video coding scheme which applies the technique of visual saliency computation to adjust image fidelity before compression. To extract visually salient features, we construct a spatio-temporal saliency map by analyzing the video using a combined bottom-up and top-down visual saliency model. We then use an extended bilateral filter, in which the local intensity and spatial scales are adjusted according to visual saliency, to adaptively alter the image fidelity. Our implementation is based on the H.264 video encoder JM12.0. Besides evaluating our scheme with the H.264 reference software, we also compare it to a more traditional foreground-background segmentation-based method and a foveation-based approach which employs Gaussian blurring. Our results show that the proposed algorithm can improve the compression ratio significantly while effectively preserving perceptual visual quality.

关键词： visual saliency bilateral filter fidelity adjustment region-of-interest encoder

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saliency detection and edge feature matching approach for crater extraction

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Journal of Systems Engineering and Electronics 2015年第6期26卷 1291-1300页

作者： An Liu Donghua Zhou Lixin Chen Maoyin Chen Department of Automation Tsinghua University Beijing Institute of Special Electronic-mechanical Technology

Craters are salient terrain features on planetary surfaces, and provide useful information about the relative dating of geological unit of planets. In addition, they are ideal landmarks for spacecraft navigation. Due to low contrast and uneven illumination, automatic extraction of craters remains a challenging task. This paper presents a saliency detection method for crater edges and a feature matching algorithm based on edges informa- tion. The craters are extracted through saliency edges detection, edge extraction and selection, feature matching of the same crater edges and robust ellipse fitting. In the edges matching algorithm, a crater feature model is proposed by analyzing the relationship between highlight region edges and shadow region ones. Then, crater edges are paired through the effective matching algorithm. Experiments of real planetary images show that the proposed approach is robust to different lights and topographies, and the detection rate is larger than 90%.

关键词： crater automatic extraction visual saliency featurematching edge detection.

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Place recognition based on saliency for topological localization

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Journal of Central South University of Technology 2006年第5期13卷 536-541页

作者：王璐蔡自兴 School of Information Science and Engineering Central South University

Based on salient visual regions for mobile robot navigation in unknown environments, a new place recognition system was presented. The system uses monocular camera to acquire omni-directional images of the environment where the robot locates. Salient local regions are detected from these images using center-surround difference method, which computes opponencies of color and texture among multi-scale image spaces. And then they are organized using hidden Markov model (HMM) to form the vertex of topological map. So localization, that is place recognition in our system, can be converted to evaluation of HMM. Experimental results show that the saliency detection is immune to the changes of scale, 2D rotation and viewpoint etc. The created topological map has smaller size and a higher ratio of recognition is obtained.

关键词： visual saliency place recognition mobile robot localization hidden Markov model

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Effective Video Summarization Approach Based on visual Attention

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Computers, Materials & Continua 2022年第4期71卷 1427-1442页

作者： Hilal Ahmad Habib Ullah Khan Sikandar Ali Syed Ijaz Ur Rahman Fazli Wahid Hizbullah Khattak Department of Computer Sciences Islamia College Peshawar KhyberPakhtunkhwaPakistan Department of Accounting and Information Systems College of Business and EconomicsQatar UniversityDoha2713Qatar Department of Information Technology The University of HaripurKhyber PakhtunkhwaPakistan Department of Information Technology Hazara University MansehraKhyber PakhtunkhwaPakistan

Video summarization is applied to reduce redundancy and developa concise representation of key frames in the video, more recently, video summaries have been used through visual attention modeling. In these schemes,the frames that stand out visually are extracted as key frames based on humanattention modeling theories. The schemes for modeling visual attention haveproven to be effective for video summaries. Nevertheless, the high cost ofcomputing in such techniques restricts their usability in everyday *** this context, we propose a method based on KFE (key frame extraction)technique, which is recommended based on an efficient and accurate visualattention model. The calculation effort is minimized by utilizing dynamicvisual highlighting based on the temporal gradient instead of the traditionaloptical flow techniques. In addition, an efficient technique using a discretecosine transformation is utilized for the static visual salience. The dynamic andstatic visual attention metrics are merged by means of a non-linear weightedfusion technique. Results of the system are compared with some existing stateof-the-art techniques for the betterment of accuracy. The experimental resultsof our proposed model indicate the efficiency and high standard in terms ofthe key frames extraction as output.

关键词： KFE video summarization visual saliency visual attention model

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Salient region detection and segmentation for general object recognition and image understanding

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Science China(Information Sciences) 2011年第12期54卷 2481-2490页

作者： HUANG TieJun 1 , TIAN YongHong 1 , LI Jia 2 & YU HaoNan 11 National Engineering Laboratory for Video Technology, School of Electrical Engineering and Computer Science, Peking University, Beijing 100871, China 2 Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China National Engineering Laboratory for Video Technology School of Electrical Engineering and Computer Science Peking University Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China

General object recognition and image understanding is recognized as a dramatic goal for computer vision and multimedia retrieval. In spite of the great efforts devoted in the last two decades, it still remains an open problem. In this paper, we propose a selective attention-driven model for general image understanding, named GORIUM (general object recognition and image understanding model). The key idea of our model is to discover recurring visual objects by selective attention modeling and pairwise local invariant features matching on a large image set in an unsupervised manner. Towards this end, it can be formulated as a four-layer bottom-up model, i.e., salient region detection, object segmentation, automatic object discovering and visual dictionary construction. By exploiting multi-task learning methods to model visual saliency simultaneously with the bottom-up and top-down factors, the lowest layer can effectively detect salient objects in an image. The second layer exploits a simple yet effective learning approach to generate two complementary maps from several raw saliency maps, which then can be utilized to segment the salient objects precisely from a complex scene. For the third layer, we have also implemented an unsupervised approach to automatically discover general objects from large image set by pairwise matching with local invariant features. Afterwards, visual dictionary construction can be implemented by using many state-of-the-art algorithms and tools available nowadays.

关键词： object recognition image understanding visual saliency salient object segmentation visual dictionary

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Contour-box for object proposal based on modified Depth First Search

Contour-box for object proposal based on modified Depth Firs...

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第21届中国系统仿真技术及其应用学术年会

作者：赵皓陈宗海王纪凯戴德云林士琪 Department of Automation University of Science and Technology of China

Object proposal is a significant pre-processing step for object *** existing object proposal methods incorporating edge to locate *** this paper,we present a novel contour box for object proposal by exploiting visual saliency and topological structure of ***,a dense edge map is generated and clustered into sparse edge ***,inspired by the visual attention mechanism,we exclude the edge segments that are fully located in the indistinct regions and construct an edge segment graph,in which the edge segments are regarded as nodes and their topological relationships are defined as ***,the candidate boxes are generated by searching for loops in the graph,in which a widely believed assumption is inherited:the edges of an object tend to formulate a *** experiments on PASCAL VOC2007 show that the proposed method greatly reduces the number of candidate ***,our method can obtain high detection recall rate under the strict intersection over union（IoU） overlap criteria（e.g.,IoU＞0.7）.

关键词： Object proposal visual saliency Modified Depth First Search Contour box

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隐喻修辞对网络横幅广告注意效果的影响研究

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市场营销（理论版） 2023年第7期

作者：杨强蒋玉石申黎华王烨娣

在广告中合理地使用隐喻修辞可以提高消费者的注意效果，但已有文献还没有厘清广告中的隐喻修辞在网络环境下影响消费者注意力的适用范围。本研究借助眼动追踪技术，采用2（修辞表现形式：隐喻，直述）×2（知觉负荷：高，低）×2（视... 详细信息

在广告中合理地使用隐喻修辞可以提高消费者的注意效果，但已有文献还没有厘清广告中的隐喻修辞在网络环境下影响消费者注意力的适用范围。本研究借助眼动追踪技术，采用2（修辞表现形式：隐喻，直述）×2（知觉负荷：高，低）×2（视觉显著性：高，低）的三因素混合实验设计探究网络横幅广告中的隐喻修辞对消费者注意效果的作用边界。研究发现：横幅广告中的隐喻修辞对消费者注意效果的影响受到消费者的知觉负荷和广告的视觉显著性的调节作用，三项交互效应结果显示，当个体具有低知觉负荷同时广告具有高的视觉显著性时，广告中的隐喻修辞最能发挥其注意优势。本研究结论对隐喻修辞在网络广告情境下的研究文献进行了的补充，并为营销人员如何在网络营销中开展隐喻横幅广告策略提出了实践启示。

关键词：隐喻横幅广告知觉负荷视觉显著性注意效果 metaphorical rhetoric online advertising perceptual load visual saliency attention effect

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