The Dimensions and Perceptual Meaning of Chinese New Year Painting as a Form of Visual Encirclement

As mankind was one kind of aesthetic species,the visual study of Marxist philosophy has profound enlightenment in understanding the New Year paintings' visual meaning,form,development,cultivation,and features etc.In essence,Chinese folk New Year paintings is a visual expression,its nature of being pasted at home makes it a visual encirclement for the Chinese people,this vision encirclement in the home space gradually expands,constitutes a spiritual home with different cultural space,living environment,image schema,and secular and religious faith scope,in this visual encirclement,people's home life achieves the satisfaction,peace and self–comfort in diversity.The"childrenization"of New Year paintings reveals a close relationship between the immature of folk art and the original art as human childhood,and from the both aspects of form and content reflects the visual encirclement is actually a kind of siege with cultural significance,this siege has multiple levels in value ideas,historical tradition,ethical order and life knowledge,aesthetic taste and so on,makes us have a new aesthetic anthropology on the New Year paintings.

A Brief Analysis of Harold Pinter’s Use of Verbal and Visual Means in The Caretaker

This thesis focuses on the analysis of Harold Pinter’s use of verbal and visual means in The Caretaker. The verbal means are: the ambiguity of the meaning of language; the evasiveness of language; silence. The functions of visual means are: end-connection; theme-revelation; atmosphere-creation. A meticulous study of Pinter’s dramatic technique can enhance the understanding of the theme of the play.

Visual Analysis of Eudora Welty's One Time,One Place

Eudora Welty's One Time,One Place snapped Mississippi featuring Jackson,Hinds County,Yazoo County,Utica and so on.These photographs of daily life stories,most of which were taken without the awareness of the people photographed,show an aesthetic vi-sion that reveals the real life of Mississippi in the 1930 s.They also show that a fiction writer's camera records people's life and citylandscapes that are somewhat different from what we see in newspapers or geography books.The unique angles chosen and the specialmoments captured by Welty make these photographs worth a careful attention.Visual Grammar is used to examine and analyze the innerworld of the people photographed by Welty.By analyzing three photographs through action processes,reactional processes,and symbolicprocesses as well as by studying the systems of Contact and Social Distance of the photographs,representational meaning and interactivemeaning are explored.The system of information value is also studied to find out how the compositional meaning is realized in the photo-graphs.After a thorough study,the lost inner worlds of the people photographed by Welty can be exposed.

Photographs and Cartoons: Differences in Interpretation of the Visual Semiotics

This study looks at the interaction between the process of intersemiosis and resemiosis in multimodality. The importance of both phases is widely acknowledged as part of the meaning making process but many practical studies focus on the first rather than the second. In particular this study looks at two groups of images about gender relations in Saudi Arabia following the post-2017 reforms of the male guardianship laws. One group are mostly made up of photographs and the second group of cartoons and posters. One important finding is that the latter tend to be less ambiguous in their semiotic structure than the former. In particular, there are instances in the first group where a standard study of intersemiosis indicates low modality but the image may be seen as inherently plausible by many observers. This suggests that while resemiosis can be applied to a single image it may be more appropriate as a tool when applied to an overall news article or set of images. In the same way that not all individual semiotic modes are complementary in how they build meaning, then it is possible for different images to be supportive, contradictory or unclear when studied in isolation.

Integration system research and development for three-dimensional laser scanning information visualization in goaf

An integration processing system of three-dimensional laser scanning information visualization in goaf was developed. It is provided with multiple functions, such as laser scanning information management for goaf, cloud data de-noising optimization, construction, display and operation of three-dimensional model, model editing, profile generation, calculation of goaf volume and roof area, Boolean calculation among models and interaction with the third party soft ware. Concerning this system with a concise interface, plentiful data input/output interfaces, it is featured with high integration, simple and convenient operations of applications. According to practice, in addition to being well-adapted, this system is favorably reliable and stable.

掌握Visual Basic编程方法的几个环节

分析了Visual Basic的编程特点,介绍了在Visual Basic程序设计教学过程中,让学生掌握VB编程方法的几个重要的教学环节。

《Visual Basic程序设计》课程教学探讨

《Visual Basic程序设计》是非计算机专业理科生的一门基础课程，因大部分同学以前没有接触程序设计，所以感觉学习起来很吃力。就教学中的问题，提出了几种改进的办法，使学生能够更好的掌握《Visual Basic程序设计》语言。

Visual field mean deviation and relevant factors in 928 Chinese retinitis pigmentosa patients

AIM: To investigate the associations between demographic and clinical factors with the rate of visual field mean derivation(MD) decline in retinitis pigmentosa(RP) patients.METHODS: Correlations of MDs with the visual acuity and retinal pigmentation were analyzed in 928 RP patients. MD decreasing rate in 10 y and potential influences of gender, age, family history and retinal pigmentation on the rate were explored in 201 RP patients. RESULTS: In the 928 patients, average MD and visual acuity were-14.44±8.61 dB and 0.79±0.35 respectively and when MD was lower than-9.18 dB the visual acuity would be below 1.0(20/20). The average MD medium between eyes with or without retinal pigmentation was-14.82 dB. In 123 non-pigmented eyes, the average MD were lower than the medium but in 153 pigmented eyes it was higher than that. In the 201 patients, the average decreasing value of MD in 10 years’ period was-8.01±3.66 dB and the value were correlated to retinal pigmentation but not to gender, age or RP family history. CONCLUSION: The rate of MD decline in RP eyes is significantly related to retinal pigmentation. Our study demonstrates the quantitative rate of MD decline in RP patients and the value of MD could well reflect the severity of RP.

RGB Based Multiple Share Creation in Visual Cryptography with Aid of Elliptic Curve Cryptography

In visual cryptography, many shares are generated which are illogical containing certain message within themselves. When all shares are piled jointly, they tend to expose the secret of the image. The notion of visual secret sharing scheme is to encrypt a secret image into n illogical share images. It is unable to reveal any data on the original image if at least one of the shares is not achieved. The original image, in fact, is realized by overlapping the entire shares directly, in order that the human visual system is competent to identify the collective secret image without employing any complicated computational tools. Therefore, they are communicated steadily as number of shares. The elliptic curve cryptography approach, in turn, is employed to augment the privacy and safety of the image. The new.fangled technique is utilized to generate the multiple shares which are subjected to encryption and decryption by means of the elliptic curve cryptography technique. The test outcomes have revealed the fact that the peak signal to noise ratio is 58.0025, Mean square error value is 0.1164 and the correlation coefficient is 1 for the decrypted image without any sort of distortion of the original image.

用VisualC++实现对彩色医学图像的分割

本文提出一种针对彩色图像的分割方法 ,K -Means算法 ,并使用面向对象语言VisualC + +进行了编程实现。本算法在对彩色医学图像的处理中取得了良好的效果 ,为医学诊断及研究创造了便利条件。

Frequent Trajectory Patterns Mining for Intelligent Visual Surveillance System

A frequent trajectory patterns mining algorithm is proposed to learn the object activities and classify the trajectories in intelligent visual surveillance system.The distribution patterns of the trajectories were generated by an Apriori based frequent patterns mining algorithm and the trajectories were classified by the frequent trajectory patterns generated.In addition,a fuzzy c-means(FCM)based learning algorithm and a mean shift based clustering procedure were used to construct the representation of trajectories.The algorithm can be further used to describe activities and identify anomalies.The experiments on two real scenes show that the algorithm is effective.

Online Adaptive Fast Multipose Face Tracking Based on Visual Cue Selection

This paper presents a system that is able to reliably track multiple faces under varying poses(tilted and rotated)in real time.The system consists of two interactive modules.The first module performs the detection of the face that is subject to rotation. The second module carries out online learning-based face tracking.A mechanism that switches between the two modules is embedded into the system to automatically decide the best strategy for reliable tracking.The mechanism enables a smooth transit between the detection and tracking modules when one of them gives either nil or unreliable results.Extensive experiments demonstrate that the system can reliably carry out real time tracking of multiple faces in a complex background under different conditions such as out-of-plane rotation,tilting,fast nonlinear motion,partial occlusion,large scale changes,and camera motion.Moreover,it runs at a high speed of 10～12 frames per second(fps)for an image of 320×240.

THE STRATEGICAL ROLE OF THE VISUAL SYSTEM IN THE CHINESE TEFL CLASSROOM

This thesis,based on a strategical undertanding,explores the functional modes of the visual sys-tem in the growth and development of English psychology in Chinese learners.The hypthesis is that the visualsystem can be trategicdally employed for the cultivation of the cultivation of the target language psychology and for the effect ofmemeory.After a detailed delineation of the classroom visual experience,the ensured V1 mode is adopted inthe experiment testifying the hypothsis.A statistic analyis of the result shows that the visual experience,strate-gically constructed and made meaningful in the psychological growth and development,can be a solution to someof the existing problems in the Chinese TEFL classroom.

Language Teaching and the Visual Element

Visual methods in language teaching have come in very quickly; their introduction has been hastened by the development of the electronic and mechanical means for displaying visual materials. And the learning of language and the teaching of meaning have been a long-lasting and significant topic in applied linguistics. In this paper several aspects of language teaching including main features of language learning, different ways for teaching of meaning etc. have been discussed. Then, the visual element in language teaching and different kinds of visual materials such as sound film, audio-visual courses, television will be introduced with an application of visual materials in real language class. Then, after the above discussion, the final conclusion will be arrived that the ultimate goal of language teaching is meaning and visual element can be of great importance in the creation of a real situation in language teaching.

基于机器视觉的兰花几何参数测量方法

为实现兰花几何参数快速测量,以“金凤蝶”兰花为研究对象,搭建图像采集平台并设计了一套兰花花朵几何参数测量算法。采用Canny-Harris算法实现兰花角点检测,采用K-means算法、RGB阈值分割算法实现兰花分割,并采用MER算法及遍历算法实现兰花具体几何参数测量。进行兰花算法识别测量试验,结果表明:单株兰花测量仅需10 s左右,相较人工测量速率提升了近60倍,测量数据可为兰花选育种工作提供判断依据。

图像高维数据的K-means自适应聚类算法

在图像信息处理中视觉词典生成过程需要对高维数据进行聚类操作.但这些高维数据不可避免会对计算机内存和计算能力提出更高要求.本文针对聚类过程中可能产生的内存耗尽以及初始聚类质心设置问题,对现有K-means算法加以改进.通过建立初始聚类质心与各类场景中的特定语义的关联,使之体现图像各类场景的类别特征集合,进而用于指导K-means过程中的初始质心设置.此外,在迭代过程中通过批次读入特征描述子,采用K近邻进行簇分配,从而避免了一次性读入全部特征描述子而造成的内存耗尽问题.同时,对于新的簇质心生成采用综合判别均值与中位值的办法来提高各族的聚合度.本文方法与Oxford University提出的K-means进行了对比,实验结果表明本文算法在性能与收敛上更具优势.

差分隐私DPE k-means数据聚合下的多维数据可视化

近年来隐私保护下的数据挖掘发展迅速,但应用广泛的数据可视化中的隐私保护问题则成果鲜见,差分隐私保护是一种新兴的具有广阔发展前景的隐私保护方法,目前,差分隐私保护下的多维数据可视化方法却未见报道.文章研究如何在数据可视化的过程中满足差分隐私保护.现有的DP k-means算法不支持较大的k,因此在数据聚合的过程中仅有理论意义.提出一个ε-Differential Privacy Equipartition k-means算法(DPE k-means),能够支持较大的k,较好地解决了可视化中数据的叠加问题,在一定的隐私保护级别下极大地改善了数据可视化后的图像质量.仿真实验中计算了衡量数据聚合质量的几项指标,结果表明DPE k-means算法优于现有的DP k-means算法.

改进K-Means聚类算法及其在视觉词典构造中的应用

K-Means聚类是视觉词典构造的常用方法,其聚类结果直接影响后续的特征量化效果和检索精度,而现有的K-Means聚类算法难以获得高质量的视觉词典。针对这种情况,提出局部化K-Means聚类算法。算法首先根据启发式原则将特征集划分成若干个独立的子集,并对各子集进行传统K-Means聚类,然后以各子集的聚类中心为对象进行加权K-Means聚类。上述过程不断迭代直至形成特定规模的视觉词典。实验结果表明,与现有算法相比,该算法提高了聚类质量。在SIFT特征集和标准数据集上进行的多组对比实验证明了该算法的有效性。

基于K-means聚类的数字半色调算法

数字半色调是在二值设备或多色二值设备上实现图像再现的一门技术,提出将K-means聚类法应用在数字半色调技术中。算法中应用人类视觉系统模型(HVS)和印刷模型最大限度减少原始灰度连续调图像和半色调图像之间的视觉误差;利用K-means聚类法将灰度图像划分成聚类分区,在每个聚类分区应用最小平方法(least-squares)最小化二值半色调图像和原始灰度级图像之间的平方误差,所构造的半色调算法与基于模型的最小平方法(LSMB)算法相比,随着聚类分区的增加,图像平滑且边缘清晰度增加,尤其是在图像细节部位。与LSMB算法比较,该算法的均方误差值有所降低,而权重信噪比和峰值信噪比提高了0.2～2 dB,模拟实验结果验证了算法的有效性。

基于主成分分析和K-means聚类的平行坐标可视化技术研究

为了解决多维数据的维数过高、数据量过大带来的平行坐标可视化图形线条密集交叠以及数据规律特征不易获取的问题,提出基于主成分分析和K-means聚类的平行坐标(PCAKP,principal component analysis and k-means clustering parallel coordinate)可视化方法。该方法首先对多维数据采用主成分分析方法进行降维处理,其次对降维后的数据采用K-means聚类处理,最后对聚类得到的数据采用平行坐标可视化技术进行可视化展示。以统计局网站发布的数据为测试数据,对PCAKP可视化方法进行测试,与传统平行坐标可视化图形进行对比,验证了PCAKP可视化方法的实用性和有效性。