Centered on describing,understanding,and interpreting conscious experiences lived by the subject open to objects of various kinds,in the endeavour to catch some of the meaning of life,finally,in particular contexts,ph...Centered on describing,understanding,and interpreting conscious experiences lived by the subject open to objects of various kinds,in the endeavour to catch some of the meaning of life,finally,in particular contexts,phenomenology provides efficient opportunities for questioning and appropriating the meaning of musical works in their complexity,depth,and dynamics.Although music is considered to be the universal language to most people,this art form(of sounds organized in melody,harmony,rhythm,texture,“color”,temporality,etc.)raises serious difficulties when it is theoretically approached in view of a better knowledge and comprehension.A hermeneutic phenomenological analysis can lead us to deciphering much more as regards the“aesthetic object”,which herein is a musical composition signed by Rodion Shchedrin.The“object”of contemplation is“Balalaika”for violin solo pizzicato.It is an uncommon piece of contemporary music we will tackle by applying the phenomenological perspective belonging to Anna-Teresa Tymieniecka.In this essay,we try to emphasize part of the inspiring potential“phenomenology of the ontopoiesis of life”that shows for living and grasping the sense of a peculiar encounter;the perceiving subject does experience with an expression of the art that exactly took its name from the“Muses”.And it matters the more so as the aesthetic experience is articulating together with an ethical,very own human,one.展开更多
Within the walls of the Interna tional Museum of African Art （IMAA）. thousands of artworks from many African tribes are preserved and exhibited, including wood, stone and bronze carvings, pottery, clothing,jewelry a...Within the walls of the Interna tional Museum of African Art （IMAA）. thousands of artworks from many African tribes are preserved and exhibited, including wood, stone and bronze carvings, pottery, clothing,jewelry and paintings, among others.展开更多
As living standards improve,the demand for artworks has been escalating,transcending beyond the realm of mere basic human necessities.However,amidst an extensive array of artwork choices,users often struggle to swiftl...As living standards improve,the demand for artworks has been escalating,transcending beyond the realm of mere basic human necessities.However,amidst an extensive array of artwork choices,users often struggle to swiftly and accurately identify their preferred piece.In such scenarios,a recommendation system can be invaluable,assisting users in promptly pinpointing the desired artworks for better service design.Despite the escalating demand for artwork recommendation systems,current research fails to adequately meet these needs.Predominantly,existing artwork recommendation methodologies tend to disregard users’implicit interests,thereby overestimating their capability to articulate their preferences in full and often neglecting the nuances of their diverse interests.In response to these challenges,we have developed a weighted artwork correlation graph and put forth an embedding-based keyword-driven artwork search and recommendation methodology.Our approach transforms the keywords that delineate user interests into word embedding vectors.This allows for an effective distinction between the user’s core and peripheral interests.Subsequently,we employ a dynamic programming algorithm to extract artworks from the correlation graph,thereby obtaining artworks that align with the user’s explicit keywords and implicit interests.We have conducted an array of experiments using real-world datasets to validate our approach.The results attest to the superiority of our method in terms of its efficacy in searching and recommending artworks.展开更多
With the ever-increasing diversification of people’s interests and preferences,artwork has become one of the most popular commodities or investment goods in E-commerce,and it increasingly attracts the attention of th...With the ever-increasing diversification of people’s interests and preferences,artwork has become one of the most popular commodities or investment goods in E-commerce,and it increasingly attracts the attention of the public.Currently,many real-world or virtual artworks can be found in E-commerce,and finding a means to recommend them to appropriate users has become a significant task to alleviate the heavy burden on artwork selection decisions by users.Existing research mainly studies the problem of single-artwork recommendation while neglecting the more practical but more complex composite recommendation of artworks in E-commerce,which considerably influences the quality of experience of potential users,especially when they need to select a set of artworks instead of a single artwork.Inspired by this limitation,we put forward a novel composite recommendation approach to artworks by a user keyword-driven correlation graph search named ART_(com-rec).Through ART_(com-rec),the recommender system can output a set of artworks(e.g.,an artwork composite solution)in E-commerce by considering the keywords typed by a user to indicate his or her personalized preferences.Finally,we validate the feasibility of the ART_(com-rec) approach by a set of simulated experiments on a real-world PW dataset.展开更多
We present a novel framework for the multidomain synthesis of artworks from semantic layouts.One of the main limitations of this challenging task is the lack of publicly available segmentation datasets for art synthes...We present a novel framework for the multidomain synthesis of artworks from semantic layouts.One of the main limitations of this challenging task is the lack of publicly available segmentation datasets for art synthesis.To address this problem,we propose a dataset called ArtSem that contains 40,000 images of artwork from four different domains,with their corresponding semantic label maps.We first extracted semantic maps from landscape photography and used a conditional generative adversarial network(GAN)-based approach for generating high-quality artwork from semantic maps without requiring paired training data.Furthermore,we propose an artwork-synthesis model using domain-dependent variational encoders for high-quality multi-domain synthesis.Subsequently,the model was improved and complemented with a simple but effective normalization method based on jointly normalizing semantics and style,which we call spatially style-adaptive normalization(SSTAN).Compared to the previous methods,which only take semantic layout as the input,our model jointly learns style and semantic information representation,improving the generation quality of artistic images.These results indicate that our model learned to separate the domains in the latent space.Thus,we can perform fine-grained control of the synthesized artwork by identifying hyperplanes that separate the different domains.Moreover,by combining the proposed dataset and approach,we generated user-controllable artworks of higher quality than that of existing approaches,as corroborated by quantitative metrics and a user study.展开更多
Previous collaborative studies have shown the main fringe patterns and their typical classification with regard to defects.Nevertheless,the complexity of the results prevents defect detection automation based on a fri...Previous collaborative studies have shown the main fringe patterns and their typical classification with regard to defects.Nevertheless,the complexity of the results prevents defect detection automation based on a fringe pattern classification table.The use of fringe patterns for the structural diagnosis of artwork is important for conveying crucial detailed information and dense data sources that are unmatched compared to those obtained using other conventional or modern techniques.Hologram interferometry fringe patterns uniquely reveal existing and potential structural conditions independent of object shape,surface complexity,material inhomogeneity,multilayered and mixed media structures,without requiring contact and interaction with the precious surface.Thus,introducing a concept that from one hand allows fringe patterns to be considered as a powerful standalone physical tool for direct structural condition evaluation with a focus on artwork conservators'need for structural diagnosis while sets a conceptual basis for defect detection automation is crucial.The aim intensifies when the particularities of ethics and safety in the field of art conservation are considered.There are ways to obtain the advantages of fringe patterns even when specialized software and advanced analysis algorithms fail to convey usable information.Interactively treating the features of fringe patterns through step-wise reasoning provides direct diagnosis while formulates the knowledge basis to automate defect isolation and identification procedures for machine learning and artificial intelligence(AI)development.The transfer of understanding of the significance of fringe patterns through logical steps to an AI system is this work's ultimate technical aim.Research on topic is ongoing.展开更多
莫里茨·盖格作为现象学运动中著名的“慕尼黑与哥廷根圈子”(The Munich and G?ttingen Circles)的重要成员,他对同感(Einfühlung/Empathy)的现象学分析逐渐被学界重视,被视为一种理解内外的自我、自我与对象重要的策略。盖...莫里茨·盖格作为现象学运动中著名的“慕尼黑与哥廷根圈子”(The Munich and G?ttingen Circles)的重要成员,他对同感(Einfühlung/Empathy)的现象学分析逐渐被学界重视,被视为一种理解内外的自我、自我与对象重要的策略。盖格的同感论向我们展开了几个重要的问题:其一,同感现象首先涉及一种“事实问题”,即当我们意识到外在的自我时,我们在意识中体验到的是什么样的现象?其二,联想理论与同感理论有何差异,我们是通过类比归纳还是直接将自己同感到他人来理解他人的经历?其三,同感的动机,单一经验的同感行为与反思性的重新体验的内在动机有什么联系,这种内在动机又如何了他者伴随发生的心理现象。进一步地,这种同感理论有助澄清人类与非人类的对象(普通对象与审美对象)的经验,从而更好地确立审美情感的特殊性。而盖格对这些核心问题的探索构成他了对现象学美学的核心贡献。展开更多
文摘Centered on describing,understanding,and interpreting conscious experiences lived by the subject open to objects of various kinds,in the endeavour to catch some of the meaning of life,finally,in particular contexts,phenomenology provides efficient opportunities for questioning and appropriating the meaning of musical works in their complexity,depth,and dynamics.Although music is considered to be the universal language to most people,this art form(of sounds organized in melody,harmony,rhythm,texture,“color”,temporality,etc.)raises serious difficulties when it is theoretically approached in view of a better knowledge and comprehension.A hermeneutic phenomenological analysis can lead us to deciphering much more as regards the“aesthetic object”,which herein is a musical composition signed by Rodion Shchedrin.The“object”of contemplation is“Balalaika”for violin solo pizzicato.It is an uncommon piece of contemporary music we will tackle by applying the phenomenological perspective belonging to Anna-Teresa Tymieniecka.In this essay,we try to emphasize part of the inspiring potential“phenomenology of the ontopoiesis of life”that shows for living and grasping the sense of a peculiar encounter;the perceiving subject does experience with an expression of the art that exactly took its name from the“Muses”.And it matters the more so as the aesthetic experience is articulating together with an ethical,very own human,one.
文摘Within the walls of the Interna tional Museum of African Art （IMAA）. thousands of artworks from many African tribes are preserved and exhibited, including wood, stone and bronze carvings, pottery, clothing,jewelry and paintings, among others.
文摘As living standards improve,the demand for artworks has been escalating,transcending beyond the realm of mere basic human necessities.However,amidst an extensive array of artwork choices,users often struggle to swiftly and accurately identify their preferred piece.In such scenarios,a recommendation system can be invaluable,assisting users in promptly pinpointing the desired artworks for better service design.Despite the escalating demand for artwork recommendation systems,current research fails to adequately meet these needs.Predominantly,existing artwork recommendation methodologies tend to disregard users’implicit interests,thereby overestimating their capability to articulate their preferences in full and often neglecting the nuances of their diverse interests.In response to these challenges,we have developed a weighted artwork correlation graph and put forth an embedding-based keyword-driven artwork search and recommendation methodology.Our approach transforms the keywords that delineate user interests into word embedding vectors.This allows for an effective distinction between the user’s core and peripheral interests.Subsequently,we employ a dynamic programming algorithm to extract artworks from the correlation graph,thereby obtaining artworks that align with the user’s explicit keywords and implicit interests.We have conducted an array of experiments using real-world datasets to validate our approach.The results attest to the superiority of our method in terms of its efficacy in searching and recommending artworks.
文摘With the ever-increasing diversification of people’s interests and preferences,artwork has become one of the most popular commodities or investment goods in E-commerce,and it increasingly attracts the attention of the public.Currently,many real-world or virtual artworks can be found in E-commerce,and finding a means to recommend them to appropriate users has become a significant task to alleviate the heavy burden on artwork selection decisions by users.Existing research mainly studies the problem of single-artwork recommendation while neglecting the more practical but more complex composite recommendation of artworks in E-commerce,which considerably influences the quality of experience of potential users,especially when they need to select a set of artworks instead of a single artwork.Inspired by this limitation,we put forward a novel composite recommendation approach to artworks by a user keyword-driven correlation graph search named ART_(com-rec).Through ART_(com-rec),the recommender system can output a set of artworks(e.g.,an artwork composite solution)in E-commerce by considering the keywords typed by a user to indicate his or her personalized preferences.Finally,we validate the feasibility of the ART_(com-rec) approach by a set of simulated experiments on a real-world PW dataset.
基金supported by the Japan Science and Technology Agency Support for Pioneering Research Initiated by the Next Generation(JST SPRING)under Grant No.JPMJSP2124.
文摘We present a novel framework for the multidomain synthesis of artworks from semantic layouts.One of the main limitations of this challenging task is the lack of publicly available segmentation datasets for art synthesis.To address this problem,we propose a dataset called ArtSem that contains 40,000 images of artwork from four different domains,with their corresponding semantic label maps.We first extracted semantic maps from landscape photography and used a conditional generative adversarial network(GAN)-based approach for generating high-quality artwork from semantic maps without requiring paired training data.Furthermore,we propose an artwork-synthesis model using domain-dependent variational encoders for high-quality multi-domain synthesis.Subsequently,the model was improved and complemented with a simple but effective normalization method based on jointly normalizing semantics and style,which we call spatially style-adaptive normalization(SSTAN).Compared to the previous methods,which only take semantic layout as the input,our model jointly learns style and semantic information representation,improving the generation quality of artistic images.These results indicate that our model learned to separate the domains in the latent space.Thus,we can perform fine-grained control of the synthesized artwork by identifying hyperplanes that separate the different domains.Moreover,by combining the proposed dataset and approach,we generated user-controllable artworks of higher quality than that of existing approaches,as corroborated by quantitative metrics and a user study.
文摘Previous collaborative studies have shown the main fringe patterns and their typical classification with regard to defects.Nevertheless,the complexity of the results prevents defect detection automation based on a fringe pattern classification table.The use of fringe patterns for the structural diagnosis of artwork is important for conveying crucial detailed information and dense data sources that are unmatched compared to those obtained using other conventional or modern techniques.Hologram interferometry fringe patterns uniquely reveal existing and potential structural conditions independent of object shape,surface complexity,material inhomogeneity,multilayered and mixed media structures,without requiring contact and interaction with the precious surface.Thus,introducing a concept that from one hand allows fringe patterns to be considered as a powerful standalone physical tool for direct structural condition evaluation with a focus on artwork conservators'need for structural diagnosis while sets a conceptual basis for defect detection automation is crucial.The aim intensifies when the particularities of ethics and safety in the field of art conservation are considered.There are ways to obtain the advantages of fringe patterns even when specialized software and advanced analysis algorithms fail to convey usable information.Interactively treating the features of fringe patterns through step-wise reasoning provides direct diagnosis while formulates the knowledge basis to automate defect isolation and identification procedures for machine learning and artificial intelligence(AI)development.The transfer of understanding of the significance of fringe patterns through logical steps to an AI system is this work's ultimate technical aim.Research on topic is ongoing.
文摘莫里茨·盖格作为现象学运动中著名的“慕尼黑与哥廷根圈子”(The Munich and G?ttingen Circles)的重要成员,他对同感(Einfühlung/Empathy)的现象学分析逐渐被学界重视,被视为一种理解内外的自我、自我与对象重要的策略。盖格的同感论向我们展开了几个重要的问题:其一,同感现象首先涉及一种“事实问题”,即当我们意识到外在的自我时,我们在意识中体验到的是什么样的现象?其二,联想理论与同感理论有何差异,我们是通过类比归纳还是直接将自己同感到他人来理解他人的经历?其三,同感的动机,单一经验的同感行为与反思性的重新体验的内在动机有什么联系,这种内在动机又如何了他者伴随发生的心理现象。进一步地,这种同感理论有助澄清人类与非人类的对象(普通对象与审美对象)的经验,从而更好地确立审美情感的特殊性。而盖格对这些核心问题的探索构成他了对现象学美学的核心贡献。
