126 research outputs found
後漢光武帝と儒教的讖緯―莽新末後漢初の政治情勢から―
No full textAlong with development of the study of the Confucian classics (jingxue 經學) during the Han Period, there also appeared a related strain of mystic doctrine (chenwei 讖緯), related to the power of the emperors. The research to date on the use of chenwei-related works has indicated the possibility that although the writings on divination (tuchen 圖讖) done at the time of the enthronement of Later Han Emperor Guangwu (Guangwudi 光武帝; r. 25–57 CE) had no ideational connection to either Confucius or the Confucian classics, by the time of the fengshan 封禪 festivals of heaven and earth at Mt. Taishan 泰山, such prophetic writing was being influenced by Confucian ideas. The present article follows this research in considering exactly how Emperor Guangwu came to deal with chenwei works in connection with Confucian thought.
To begin with, despite the fact that the theory that Confucius had written chenwei books to testify to the establishment and continued existence of the Han dynasty (Kong Qiu Mijing 孔丘秘經 Theory) had already appeared during the last years of the Xin Dynasty, the influence of Confucian chenwei thought was no widespread; and even after the uprising and enthronement of Emperor Guangwu, little interest was directed at the connection of chenwei to Confucianism. Rather, it was a time when the Emperor regarded chenwei as being effective in more concrete matters connected to rural life, the conquest of Hebei, etc.
It was not until around the 6th year of Jianwu Era (30 CE) that Gongsun Shu 公孫述, the independent warlord of the Sichuan region, began operations to incite people by spreading the word of Confucian chenwei throughout Zhongyuan 中原. Meanwhile, beginning in the previous year, Emperor Guangwu had initiated various programs aimed at stabilizing the social crisis and chaos in the midst of military conflict through the introduction of Confucian ideas. Both movements were attempts to appeal to, agitate among and win the hearts of the people of Zhongyuan, who were by no means steadfast in loyalty to the Emperor Guangwu’s regime, by appealing to them, even if symbolically, with the then widely shared authority, i.e. Confucian ideas.
The author concludes that the preconditions for these efforts, i.e. the penetration of Confucianism into Chinese society, led to the utilization of Confucian chenwei by Emperor Guangwu, through the political tensions at the beginning of the Later Han Period
Emperor Guangwu and Mystic Confucian Doctorine as Seen from the Political Situation of the Late Xin–Early Later Han Dynasty Eras
Get PDFAlong with development of the study of the Confucian classics (jingxue 經學) during the Han Period, there also appeared a related strain of mystic doctrine (chenwei 讖緯), related to the power of the emperors. The research to date on the use of chenwei-related works has indicated the possibility that although the writings on divination (tuchen 圖讖) done at the time of the enthronement of Later Han Emperor Guangwu (Guangwudi 光武帝; r. 25–57 CE) had no ideational connection to either Confucius or the Confucian classics, by the time of the fengshan 封禪 festivals of heaven and earth at Mt. Taishan 泰山, such prophetic writing was being influenced by Confucian ideas. The present article follows this research in considering exactly how Emperor Guangwu came to deal with chenwei works in connection with Confucian thought.
To begin with, despite the fact that the theory that Confucius had written chenwei books to testify to the establishment and continued existence of the Han dynasty (Kong Qiu Mijing 孔丘秘經 Theory) had already appeared during the last years of the Xin Dynasty, the influence of Confucian chenwei thought was no widespread; and even after the uprising and enthronement of Emperor Guangwu, little interest was directed at the connection of chenwei to Confucianism. Rather, it was a time when the Emperor regarded chenwei as being effective in more concrete matters connected to rural life, the conquest of Hebei, etc.
It was not until around the 6th year of Jianwu Era (30 CE) that Gongsun Shu 公孫述, the independent warlord of the Sichuan region, began operations to incite people by spreading the word of Confucian chenwei throughout Zhongyuan 中原. Meanwhile, beginning in the previous year, Emperor Guangwu had initiated various programs aimed at stabilizing the social crisis and chaos in the midst of military conflict through the introduction of Confucian ideas. Both movements were attempts to appeal to, agitate among and win the hearts of the people of Zhongyuan, who were by no means steadfast in loyalty to the Emperor Guangwu’s regime, by appealing to them, even if symbolically, with the then widely shared authority, i.e. Confucian ideas.
The author concludes that the preconditions for these efforts, i.e. the penetration of Confucianism into Chinese society, led to the utilization of Confucian chenwei by Emperor Guangwu, through the political tensions at the beginning of the Later Han Period.journal articl
Learning based screen image compression
No full textThere are usually two components in computer screen images: textual and pictorial parts. The pictorial part can be compressed efficiently by classical coding approaches (e.g. JPEG, JPEG2000), while the compression of the textual part is still far away from being satisfactory for the reason that the textual content is usually of high-frequency. In this paper, a learning approach is used to construct a tailored dictionary for text representation. Based on the learned dictionary, a novel screen image compression algorithm is proposed through adopting different basis functions for the textual and pictorial components respectively. The screen images are firstly segmented into textual and pictorial parts. Then we employ traditional discrete cosine transformation (DCT) to facilitate the compression of pictorial part, while the learned dictionary is used to represent the textual part in screen images. Experimental results demonstrate the effectiveness of the proposed compression algorithm
Toward Hierarchical Adaptive Alignment for Aerial Object Detection in Remote Sensing Images
No full textInternational audienceThe aerial objects tend to distribute with a major variation in the scale and arbitrary orientations in remote sensing images. To meet such characteristics of the aerial object, most of the existing anchor-based detectors rely on preset anchors with variable scales, angles, and aspect ratios, which lead to the misalignment of the selection of candidate regions, the extraction of object features, and the label assignment of preset boxes, interfering the performance of the detector. To address this issue, we propose a hierarchical adaptive alignment network (HAA-Net). Specifically, we first design the region refinement module (RRM), feature alignment module (FAM), and potential label assignment module (PLAM) to alleviate the misalignment of the region, feature, and label levels, respectively; furthermore, we use the gradient equalization strategy to jointly optimize these modules at different levels, so that the whole network can be fully trained to significantly improve detection performance. Extensive experiments demonstrate that our approach can achieve superior performance in three common aerial object datasets [(e.g., Dataset of Object Detection in Aerial Images (DOTA), High-Resolution Ship Collection 2016 (HRSC2016), and University of Chinese Academy of Sciences-Aerial Object Detection (UCAS-AOD)] when compared with state-of-the-art detectors
Feature-Level Loss for Multispectral Pan-Sharpening with Machine Learning
No full textInternational audienc
Robust Approach for Nonuniformity Correction in Infrared Focal Plane Array
No full textIn this paper, we propose a new scene-based nonuniformity correction technique for infrared focal plane arrays. Our work is based on the use of two well-known scene-based methods, namely, adaptive and interframe registration-based exploiting pure translation motion model between frames. The two approaches have their benefits and drawbacks, which make them extremely effective in certain conditions and not adapted for others. Following on that, we developed a method robust to various conditions, which may slow or affect the correction process by elaborating a decision criterion that adapts the process to the most effective technique to ensure fast and reliable correction. In addition to that, problems such as bad pixels and ghosting artifacts are also dealt with to enhance the overall quality of the correction. The performance of the proposed technique is investigated and compared to the two state-of-the-art techniques cited above
Textural and Gradient Feature Extraction from JPEG2000 Codestream for Airfield Detection
No full textContent-based image compression for arbitrary-resolution display devices
No full textThe existing image coding methods cannot support content-based spatial scalability with high compression. In mobile multimedia communications, image retargeting is generally required at the user end. However, content-based image retargeting (e.g., seam carving) is with high computational complexity and is not suitable for mobile devices with limited computing power. The work presented in this paper addresses the increasing demand of visual signal delivery to terminals with arbitrary resolutions, without heavy computational burden to the receiving end. In this paper, the principle of seam carving is incorporated into a wavelet codec (i.e., SPIHT ). For each input image, block-based seam energy map is generated in the pixel domain. In the meantime, multilevel discrete wavelet transform (DWT) is performed. Different from the conventional wavelet-based coding schemes, DWT coefficients here are grouped and encoded according to the resultant seam energy map. The bitstream is then transmitted in energy descending order. At the decoder side, the end user has the ultimate choice for the spatial scalability without the need to examine the visual content; an image with arbitrary aspect ratio can be reconstructed in a content-aware manner based upon the side information of the seam energy map. Experimental results show that, for the end users, the received images with an arbitrary resolution preserve important content while achieving high coding efficiency for transmission
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