A Preliminary Discussion on Watercolor Creation and Emotional Expression of Female Themes in the 20th Century

The history of watercolor painting spans over three centuries,and the study of watercolor creations focusing on female themes have been a hot topic in the subfield of art studies.Watercolor originated in the Age of Exploration,initially serving as a practical tool for natural history,and later evolving into an art form for the aristocracy.In the 20th century,creations featuring female themes flourished and reached their peak.Compared to early works portraying female theses in mythology and religion,these paintings exhibit significant differences in expression,color,and texture,reflecting the gradual rise of women’s status and the artists’reflections on modern society.This article delves into the development,emotional expression,creation,and inspiration of watercolor paintings with female themes.By analyzing representative works,we explore the artists’portrayal of women and the reflection of women’s living conditions,social status,and ideological consciousness in contemporary society.This article also examines the profound influence and artistic value of these works on contemporary female-themed paintings from the perspective of art studies.

Color Expression and Mood Creation in Imagery Oil Painting

Oil painting is a traditional Western painting form.With the introduction of China and the influence of China’s traditional painting and aesthetics,the painting style became more distinctive,expanding a new development direction of oil painting,and thus imagery oil painting came into being.Color,as the most important element in imagery oil painting,mainly plays the role of mood creation and emotional expression.Many creators are good at injecting their thoughts and emotions into the paintings through color matching,so as to enhance the artistic expression of the paintings.This paper analyzes the color expression characteristics of imagery oil painting and explores the color expression techniques in imagery oil painting and mood creation of imagery oil painting from several aspects.

Form and Image Expression of Traditional Village Texture in Southern Hebei

The image expression of traditional villages is studied through the analysis of their forms.With the famous historical and cultural villages in southern Hebei as the research objects,the relationship between the form and image of traditional villages is deeply analyzed through the survey of village layout and courtyard layout,which can deeply explain the characteristics of regional architectural culture.

EFFECT OF rhTGF-β1 AND rhGM-CSF ON RECEPTOR EXPRESSIONS IN J6-1 AND J6-2 LEUKEMIC CELLS

ABC immunoperoxidase was used to test the effects of rhTGF-β1 and rhGM-CSF on receptor expressions in J6-1 and J6-2 leukemic cell lines. Computer assisted image analysis system was introduced to evaluate positive index of time-and dose-dependent specimens. The expression of c-kit was elevated both in positive rate and positive index by TGF-01 in both time- and dose-dependent manners. Ing/ml rhTGF-β1 simultaneously enhanced the expression of c-fms and PDGF-R which is not detected in 50 ng / ml GM-CSF treatment. Endoglin was down-regulated after TGF-β treatment and up-regulated in J6-2 cells after GM-CSF treatment, c-kit Expression was elevated by TGF-β in J6-1 cells while decreased by both in J6-2 cells.

Brain functional changes in facial expression recognition in patients with major depressive disorder before and after antidepressant treatment A functional magnetic resonance imaging study

Functional magnetic resonance imaging was used during emotion recognition to identify changes in functional brain activation in 21 first-episode, treatment-naive major depressive disorder patients before and after antidepressant treatment. Following escitalopram oxalate treatment, patients exhibited decreased activation in bilateral precentral gyrus, bilateral middle frontal gyrus, left middle temporal gyrus, bilateral postcentral gyrus, left cingulate and right parahippocampal gyrus, and increased activation in right superior frontal gyrus, bilateral superior parietal Iobule and left occipital gyrus during sad facial expression recognition. After antidepressant treatment, patients also exhibited decreased activation in the bilateral middle frontal gyrus, bilateral cingulate and right parahippocampal gyrus, and increased activation in the right inferior frontal gyrus, left fusiform gyrus and right precuneus during happy facial expression recognition. Our experimental findings indicate that the limbic-cortical network might be a key target region for antidepressant treatment in major depressive disorder.

Brain pathways of pain empathy activated by pained facial expressions: a meta-analysis of fMRI using the activation likelihood estimation method

OBJECTIVE: The objective of this study is to summarize and analyze the brain signal patterns of empathy for pain caused by facial expressions of pain utilizing activation likelihood estimation, a meta-analysis method. DATA SOURCES: Studies concerning the brain mechanism were searched from the Science Citation Index, Science Direct, PubMed, DeepDyve, Cochrane Library, SinoMed, Wanfang, VIP, China National Knowledge Infrastructure, and other databases, such as SpringerLink, AMA, Science Online, Wiley Online, were collected. A time limitation of up to 13 December 2016 was applied to this study. DATA SELECTION: Studies presenting with all of the following criteria were considered for study inclusion: Use of functional magnetic resonance imaging, neutral and pained facial expression stimuli, involvement of adult healthy human participants over 18 years of age, whose empathy ability showed no difference from the healthy adult, a painless basic state, results presented in Talairach or Montreal Neurological Institute coordinates, multiple studies by the same team as long as they used different raw data. OUTCOME MEASURES: Activation likelihood estimation was used to calculate the combined main activated brain regions under the stimulation of pained facial expression. RESULTS: Eight studies were included, containing 178 subjects. Meta-analysis results suggested that the anterior cingulate cortex(BA32), anterior central gyrus(BA44), fusiform gyrus, and insula(BA13) were activated positively as major brain areas under the stimulation of pained facial expression. CONCLUSION: Our study shows that pained facial expression alone, without viewing of painful stimuli, activated brain regions related to pain empathy, further contributing to revealing the brain's mechanisms of pain empathy.

Expression Mechanism of Chinese Visual Experience Taking the Historical Evolvement and Extraterritorial Construction of the Visual Image of Sun Wukong as an Example

As typical visual culture symbol of China, the visual image of Sun Wukong firstly appeared on the mural of Yulin Caves of Dunhuang in Western Xia regime and the story of Monk Tang and his prentices on the mural in Yuan Dynasty. Up to Yuan Dynasty, it became very popular. Since the novel Pilgrimage to the West was published, the visual image of Sun Wukong has appeared in the visual carriers of wood block, colored drawing, paper-cut, traditional Chinese opera, film, television, ad, cartoon and so on. European countries, America, Japan and South Korea use advanced film and TV technology and digital technology to deduce, model, adapt and simulate the visual image of Sun Wukong. This paper investigates the construction of the visual image of Sun Wukong in China and extraterritorial countries and regions, tries to explore Chinese ＂visual＂ experience in mediaeval times and especially modern times and seeks a clue for understanding Chinese problem of visual expression.

A Modified CNN Network for Automatic Pain Identification Using Facial Expressions

Pain is a strong symptom of diseases. Being an involuntary unpleasant feeling, it can be considered a reliable indicator of health issues. Pain has always been expressed verbally, but in some cases, traditional patient self-reporting is not efficient. On one side, there are patients who have neurological disorders and cannot express themselves accurately, as well as patients who suddenly lose consciousness due to an abrupt faintness. On another side, medical staff working in crowded hospitals need to focus on emergencies and would opt for the automation of the task of looking after hospitalized patients during their entire stay, in order to notice any pain-related emergency. These issues can be tackled with deep learning. Knowing that pain is generally followed by spontaneous facial behaviors, facial expressions can be used as a substitute to verbal reporting, to express pain. In this paper, a convolutional neural network (CNN) model was built and trained to detect pain through patients’ facial expressions, using the UNBC-McMaster Shoulder Pain dataset. First, faces were detected from images using the Haarcascade Frontal Face Detector provided by OpenCV, and preprocessed through gray scaling, histogram equalization, face detection, image cropping, mean filtering, and normalization. Next, preprocessed images were fed into a CNN model which was built based on a modified version of the VGG16 architecture. The model was finally evaluated and fine-tuned in a continuous way based on its accuracy, which reached 92.5%.

Analysis,Identification and Realization of Human Facial Expressions

Ａｎａｌｙｓｉｓ，ＩｄｅｎｔｉｆｉｃａｔｉｏｎａｎｄＲｅａｌｉｚａｔｉｏｎｏｆＨｕｍａｎＦａｃｉａｌＥｘｐｒｅｓｉｏｎｓＪＩＮＨｕｉＧＡＯＷｅｎＺＨＡＯＬｉｚｈｕａｎｇ（金辉）（高文）（赵力庄）（Ｄｅｐｔ．ｏｆＣｏｍｐｕｔｅｒＳｃｉｅｎｃｅａｎｄＥｎ...

Facial Expression Recognition Based on the Fusion of Infrared and Visible Image

Facial expression recognition is a research hot spot in the fields of computer vision and pattern recognition.However,the existing facial expression recognition models are mainly concentrated in the visible light environment.They have insufficient generalization ability and low recognition accuracy,and are vulnerable to environmental changes such as illumination and distance.In order to solve these problems,we combine the advantages of the infrared and visible images captured simultaneously by array equipment our developed with two infrared and two visible lens,so that the fused image not only has the texture information of visible image,but also has the contrast information of infrared image.On the other hand,we improved the WGAN by adding SSIM and LBP loss functions to ensure the structural similarity between the fused image and infrared image,and also the texture similarity between the fused image and visible image respectively.Finally,a facial expression recognition model Pyconv-SE18 with pyramid convolution and attention mechanism module is designed to extract the important feature information of facial expression in multiple scales.We add cosine distance loss function to reduce the feature difference within the class.Experiment results show that the robustness of expression recognition algorithm to illumination is improved based on the fused images.The accuracy of this model on FER2013 and CK+public data sets are 69.3%and 94.6%,respectively.

Real-time Meaning in Communication and the Analysis of the Meaning of Referring Expressions

Based on a review of the theories on meaning in the field of philosophy, semantics and pragmatics, this paper suggests that language meaning, subject to constant change in real communication,is a concept different from relatively static sense and reference which are mutual inter-dependent to each other. Sense and reference constitute the personal images of any given words.Three sources of meaning are elaborated: the dictionary sense, the personal images of any given words, and the dynamic context.A combination of traditional semantic meaning and dynamic pragmatic meaning analysis is suggested through examining the meaning derivation process in the cases of the use of referring expressions in definite, indefinite descriptions, and incomplete sentences.

The Aesthetic Education Value of Thematic Art Creation

Thematic art creation is a product of a complex social,historical,and cultural context,and it fills an important position in the development of modern and contemporary Chinese art history.Since the 21st century,with the introduction and implementation of a series of national major thematic art creation projects,thematic art creation has gradually moved from a marginal position in art history to a core area,becoming a visual narrative method with independent aesthetic value.Moving towards cultural consciousness and carrying cultural self-confidence,thematic art creation requires the guidance,standardization,and support of related art theories.The lack and absence of theoretical research restricts the development of thematic art creation.This study combs through the research results and literature materials of thematic art creation since the new century as well as studies the aesthetic education value of thematic art creation image narration.

Video expression recognition based on frame-level attention mechanism

Facial expression recognition(FER) in video has attracted the increasing interest and many approaches have been made.The crucial problem of classifying a given video sequence into several basic emotions is how to fuse facial features of individual frames.In this paper, a frame-level attention module is integrated into an improved VGG-based frame work and a lightweight facial expression recognition method is proposed.The proposed network takes a sub video cut from an experimental video sequence as its input and generates a fixed-dimension representation.The VGG-based network with an enhanced branch embeds face images into feature vectors.The frame-level attention module learns weights which are used to adaptively aggregate the feature vectors to form a single discriminative video representation.Finally, a regression module outputs the classification results.The experimental results on CK+and AFEW databases show that the recognition rates of the proposed method can achieve the state-of-the-art performance.

基于迁移学习与残差网络的快递包裹X光图像识别

针对快递包裹违禁物品识别存在种类繁多、依赖人力和X光图像获取难度大等问题,为提高快递包裹违禁物品识别的效率和准确度,本研究提出一种迁移学习与残差网络相结合的快递包裹X光图像识别方法(TL-ResNet18)。首先构建了相似度高的源领域数据集和目标领域数据集;其次,选用ResNet18作为预训练模型,调整初始化参数结构,并将ResNet18学习到的内容作为初始化参数迁移到目标领域,实现快递包裹X光图像分类;最后,将相同数据集作为三种模型的输入并对结果进行对比。实验结果表明,TL-ResNet18模型的局部微调和全局微调的识别准确率分别为93.5%、95.0%,相比于ResNet18模型提高了7%、8.5%,且精确度、召回率和F1值都优于ResNet18模型,该方法性能更优,且不受小型数据集对深层网络训练的限制,有利于快递包裹X光图像识别的智能化发展。

Exploration of the Expression of Color Emotion in Oil Painting Sketch Creation

This paper deeply analyzes the expression of color emotion in oil painting sketch creation.Starting with the three basic attributes of color theory(hue,lightness,and purity),this paper discusses its emotional symbolic significance and the relationship between contrast and harmony.By interpreting the works of artists such as Van Gogh’s Sunflower,Monet’s Rouen Cathedral,and Cézanne’s Mont Sainte-Victoire,this paper shows the unique charm of different colors in conveying emotions,creating atmosphere,and expressing themes.At the same time,it is expounded that in the creation of an oil painting sketch,the effective expression of color emotion can be realized by observing nature,using subjective colors,and reasonable composition and layout of colors,so as to enhance the artistic value of the works.

短视频赋能下地方戏曲的影像创作与叙事策略——以青阳腔为例

近年来,短视频对地方戏曲的传播引起关注。在戏曲短视频演进发展中,细分出“演出现场的记录”“表演的视频化创作”“后台日常的展示”“跨界的创新艺术”等影像类型。以青阳腔短视频的制播为例,短视频作品通过主体突出的竖屏画面、传统与时尚同在的声音,以及趣味化的戏曲贴纸等创作形式,表现了丰富的影像美感;戏曲短视频也可以通过提炼精华、回归平民、多元呈现等叙事策略最大限度地展现戏曲之美。

音乐剧中舞蹈的存在方式、独特价值与创作思考

音乐剧是一种融合了音乐、舞蹈等艺术要素的戏剧类型,音乐剧中的舞蹈具有促进情感互动与交流、推动故事情节发展、塑造鲜明人物形象等价值。为了使舞蹈在音乐剧中的作用得以充分发挥,必须提升其创编质量。可从以下几方面入手:一是结合不同语境创编舞蹈动作,展现特定内涵;二是注重舞蹈中主次关系的巧妙处理,做到相得益彰;三是注意舞蹈与其他表现载体的配合,增强戏剧效果;四是从民族舞蹈和地方舞蹈中汲取精华,凸显本土特色。

庚子国变题材视野下的近代戏剧创作

庚子国变后,相关戏剧作品亦蜂拥而出。创作者身份的特殊,戏剧改良的推动与庚子国变的助力,造就了这一批作品的独特风貌。作品的形貌、作者的情怀、表达的直白,无不昭示着庚子国变题材视野下的戏剧作品的特殊,透过表象亦可探究作品风貌产生的深层次原因及创作者的独特心态。

爱的哲学之外的社会担当--论冰心20世纪上半期的文学创作

梳理冰心1919-1949年的文学创作可以发现,其初登文坛以问题小说驰名,以己之文学专长捍卫个性解放,对社会文化生活有所引领。冰心的文学创作,不论何种体裁,都密切关注社会生活,积极参与现实讨论,以深厚智识为民众利益思考和发声。她的写作并非“去社会化”的温室书写,而是始终与社会问题接轨,客观理性地评论社会问题,具有一定的话语影响力,有益于社会文化生活的有序构建,体现了女性作家的社会主体价值和特殊视角。

影像时代背景下高校思政课主题作品创作研究

在影像时代背景下,高校思政课主题作品创作成为课程改革创新的可行路径。高校思政课教师在课程系统设计中应发挥主导性作用,通过实现课程理论和影像作品的融合,激活课程活力。文章基于教学实践阐述了高校思政课主题作品创作的思想指引和规律遵循,找到了思政课和学生专业的关联性,探索出主题作品创作的系统设计框架与实现路径,揭示了主题作品创作及建构作品数据库的现实价值。