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
In line with appreciation-as-sizing-up, Carroll(2016) proposes an approach to defining the procedure of art appreciation, which is called the art appreciative heuristic.In Carroll's view, the procedure of art appr...In line with appreciation-as-sizing-up, Carroll(2016) proposes an approach to defining the procedure of art appreciation, which is called the art appreciative heuristic.In Carroll's view, the procedure of art appreciation must include firstly identifying or isolating the purpose(s) of artwork, and secondly determining how adequate or appropriate the way the artwork realizes or articulates its purpose(s).This article argues that the art appreciative heuristic is neither a sufficient nor a necessary condition for the procedure of art appreciation.Consequently, the artistic heuristic is not precise or efficient for art appreciation.In this paper, a revised definition is proposed, which replaces “purpose(s)” with “artistic value”.The revised definition not only maintains the virtues of the art heuristic appreciation but also mitigates issues of it.Thus, it is a better guide for one to conduct art appreciation.展开更多
This paper explores the essential role of art education in adolescents’cultural development.By examining the influence of art education on adolescents’aesthetic abilities and observing the cultural stories behind ar...This paper explores the essential role of art education in adolescents’cultural development.By examining the influence of art education on adolescents’aesthetic abilities and observing the cultural stories behind artworks,this paper aims to underscore the importance of art education in nurturing knowledge,fostering cultural identity,and encouraging cross-cultural understanding.Suggestions are put forward correspondingly to ensure the quality of art education and improve adolescents’cultural literacy.展开更多
1 Fascinated by the beauty of white Chinese porcelain(瓷),Marc Leuthold has spent two months creating contemporary artworks using the local clay and firing methods of Quyang,a county in Hebei Province,with over a thou...1 Fascinated by the beauty of white Chinese porcelain(瓷),Marc Leuthold has spent two months creating contemporary artworks using the local clay and firing methods of Quyang,a county in Hebei Province,with over a thousand years of ceramic⁃making history.2 Leuthold,an elected lifetime member of the International Academy of Ceramics and a retired professor from the State University of New York,has been invited to around 20 Chinese cities to exhibit,lecture and exchange ideas.He also worked full⁃time at an art institute in Shanghai from 2018 to 2023.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
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In line with appreciation-as-sizing-up, Carroll(2016) proposes an approach to defining the procedure of art appreciation, which is called the art appreciative heuristic.In Carroll's view, the procedure of art appreciation must include firstly identifying or isolating the purpose(s) of artwork, and secondly determining how adequate or appropriate the way the artwork realizes or articulates its purpose(s).This article argues that the art appreciative heuristic is neither a sufficient nor a necessary condition for the procedure of art appreciation.Consequently, the artistic heuristic is not precise or efficient for art appreciation.In this paper, a revised definition is proposed, which replaces “purpose(s)” with “artistic value”.The revised definition not only maintains the virtues of the art heuristic appreciation but also mitigates issues of it.Thus, it is a better guide for one to conduct art appreciation.
文摘This paper explores the essential role of art education in adolescents’cultural development.By examining the influence of art education on adolescents’aesthetic abilities and observing the cultural stories behind artworks,this paper aims to underscore the importance of art education in nurturing knowledge,fostering cultural identity,and encouraging cross-cultural understanding.Suggestions are put forward correspondingly to ensure the quality of art education and improve adolescents’cultural literacy.
文摘1 Fascinated by the beauty of white Chinese porcelain(瓷),Marc Leuthold has spent two months creating contemporary artworks using the local clay and firing methods of Quyang,a county in Hebei Province,with over a thousand years of ceramic⁃making history.2 Leuthold,an elected lifetime member of the International Academy of Ceramics and a retired professor from the State University of New York,has been invited to around 20 Chinese cities to exhibit,lecture and exchange ideas.He also worked full⁃time at an art institute in Shanghai from 2018 to 2023.
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.
