Until recently,the study of language and meaning of cartoons,the media discourses they generate,and their analysis as a creative means of exploring meaning-making processes as semiotic resources have not received much...Until recently,the study of language and meaning of cartoons,the media discourses they generate,and their analysis as a creative means of exploring meaning-making processes as semiotic resources have not received much scholarly attention in Nigeria.Although cartoons that involve the use of satire and humour as visual representations of reality have gained prominence across many media platforms in Nigeria,only a few scholars have examined this from a social semiotics perspective.This has created a gap in the literature,thus creating room for a para-digm shift in the field of social semiotics.This study explores the semiotics of car-toons in selected Nigerian newspapers to examine the meaning-making resources employed in the visual representation of ASUU strikes in Nigeria.The study,there-fore,examines how cartoonists manipulate symbols,signs,and other semiotic resources to convey specific meanings through visual and textual representations.The study adopts a qualitative research design;data comprising cartoons sourced from selected Vanguard Newspapers and websites are analyzed using Kress and Van Leeuwen's visual semiotics and interpreted from the standpoints of Halliday's Systematic Functional Linguistics(SFL)approach and O'Halloran's position on metaphorical constructions of meaning.Here,metaphorical manipulation and rep-resentation of visual elements in the selected cartoons are interrogated.Findings from the study show the use of semiotic resources in the portrayer of reality in the context of the seemingly intractable ASUU strikes and their consequences on aca-demic activities in Nigeria.This scholarly intervention deserves attention as it significantly contributes to the field of social semiotics through its visual represen-tation in portraying challenges faced by the educational systems in Nigeria vis-a-vis poorgovernment funding.展开更多
Visual representation learning is ubiquitous in various real-world applications,including visual comprehension,video understanding,multi-modal analysis,human-computer interaction,and urban computing.Due to the emergen...Visual representation learning is ubiquitous in various real-world applications,including visual comprehension,video understanding,multi-modal analysis,human-computer interaction,and urban computing.Due to the emergence of huge amounts of multimodal heterogeneous spatial/temporal/spatial-temporal data in the big data era,the lack of interpretability,robustness,and out-of-distribution generalization are becoming the challenges of the existing visual models.The majority of the existing methods tend to fit the original data/variable distributions and ignore the essential causal relations behind the multi-modal knowledge,which lacks unified guidance and analysis about why modern visual representation learning methods easily collapse into data bias and have limited generalization and cognitive abilities.Inspired by the strong inference ability of human-level agents,recent years have therefore witnessed great effort in developing causal reasoning paradigms to realize robust representation and model learning with good cognitive ability.In this paper,we conduct a comprehensive review of existing causal reasoning methods for visual representation learning,covering fundamental theories,models,and datasets.The limitations of current methods and datasets are also discussed.Moreover,we propose some prospective challenges,opportunities,and future research directions for benchmarking causal reasoning algorithms in visual representation learning.This paper aims to provide a comprehensive overview of this emerging field,attract attention,encourage discussions,bring to the forefront the urgency of developing novel causal reasoning methods,publicly available benchmarks,and consensus-building standards for reliable visual representation learning and related real-world applications more efficiently.展开更多
With the rapid increase in social websites that has dramatically increased the volume of social media, which includes the use of images and videos, visual understanding has attracted great interest in several areas su...With the rapid increase in social websites that has dramatically increased the volume of social media, which includes the use of images and videos, visual understanding has attracted great interest in several areas such as multimedia, computer vision, and pattern recognition. Valuable auxiliary resources available on social websites, such as user-provided tags, aid in the tasks of visual understanding. Therefore, sev- eral methods have been proposed for exploring the auxiliary resources for tag refinement, image retrieval, and media sum- marization. This work conducts a comprehensive survey of recent advances in visual understanding by mining social media in order to discuss their merits and limitations. We then analyze the difficulties and challenges of visual understanding followed by several possible future research directions.展开更多
Companies operating across borders face greater challenges in ensuring compliance with company strategy in different cultural contexts. Recent research shows the cognitive and emotional benefits of utilizing visual re...Companies operating across borders face greater challenges in ensuring compliance with company strategy in different cultural contexts. Recent research shows the cognitive and emotional benefits of utilizing visual representations of knowledge in organizations. This study aims to test if mapping a corporate strategy visually can improve attitudes toward firm strategy and the intention to comply with it. An experiment is conducted comparing two knowledge maps to a textual version of the same company strategy. In order to measure attitudes toward the strategy, a scale was developed and tested in Europe and China. The study outcome provides a parsimonious and effective tripartite scale of attitude with cognitive, affective and behavioral components. The scale was then applied to a different sample to test the effect of mapping a company strategy visually on attitude toward the strategy, and to test if the effect is persistent in Europe and China. The results of the experiment show that subjects exposed to the visual conditions had significantly more positive affective and cognitive attitudes toward the content.展开更多
文摘Until recently,the study of language and meaning of cartoons,the media discourses they generate,and their analysis as a creative means of exploring meaning-making processes as semiotic resources have not received much scholarly attention in Nigeria.Although cartoons that involve the use of satire and humour as visual representations of reality have gained prominence across many media platforms in Nigeria,only a few scholars have examined this from a social semiotics perspective.This has created a gap in the literature,thus creating room for a para-digm shift in the field of social semiotics.This study explores the semiotics of car-toons in selected Nigerian newspapers to examine the meaning-making resources employed in the visual representation of ASUU strikes in Nigeria.The study,there-fore,examines how cartoonists manipulate symbols,signs,and other semiotic resources to convey specific meanings through visual and textual representations.The study adopts a qualitative research design;data comprising cartoons sourced from selected Vanguard Newspapers and websites are analyzed using Kress and Van Leeuwen's visual semiotics and interpreted from the standpoints of Halliday's Systematic Functional Linguistics(SFL)approach and O'Halloran's position on metaphorical constructions of meaning.Here,metaphorical manipulation and rep-resentation of visual elements in the selected cartoons are interrogated.Findings from the study show the use of semiotic resources in the portrayer of reality in the context of the seemingly intractable ASUU strikes and their consequences on aca-demic activities in Nigeria.This scholarly intervention deserves attention as it significantly contributes to the field of social semiotics through its visual represen-tation in portraying challenges faced by the educational systems in Nigeria vis-a-vis poorgovernment funding.
基金supported in part by National Natural Science Foundation of China(Nos.62002395,61976250 and U1811463)the National Key R&D Program of China(No.2021ZD0111601)the Guangdong Basic and Applied Basic Research Foundation,China(Nos.2021A15150123 and 2020B1515020048).
文摘Visual representation learning is ubiquitous in various real-world applications,including visual comprehension,video understanding,multi-modal analysis,human-computer interaction,and urban computing.Due to the emergence of huge amounts of multimodal heterogeneous spatial/temporal/spatial-temporal data in the big data era,the lack of interpretability,robustness,and out-of-distribution generalization are becoming the challenges of the existing visual models.The majority of the existing methods tend to fit the original data/variable distributions and ignore the essential causal relations behind the multi-modal knowledge,which lacks unified guidance and analysis about why modern visual representation learning methods easily collapse into data bias and have limited generalization and cognitive abilities.Inspired by the strong inference ability of human-level agents,recent years have therefore witnessed great effort in developing causal reasoning paradigms to realize robust representation and model learning with good cognitive ability.In this paper,we conduct a comprehensive review of existing causal reasoning methods for visual representation learning,covering fundamental theories,models,and datasets.The limitations of current methods and datasets are also discussed.Moreover,we propose some prospective challenges,opportunities,and future research directions for benchmarking causal reasoning algorithms in visual representation learning.This paper aims to provide a comprehensive overview of this emerging field,attract attention,encourage discussions,bring to the forefront the urgency of developing novel causal reasoning methods,publicly available benchmarks,and consensus-building standards for reliable visual representation learning and related real-world applications more efficiently.
基金This work was partially supported by the National Basic Research Program of China (973 Program) (2014CB347600), the National Natural Science Foundation of China (Grant Nos. 61522203 and U1611461), the Natural Science Foundation of Jiangsu Province (Bird0140058), and the National Ten Thousand Talent Program of China (Young Top-Notch Talent).
文摘With the rapid increase in social websites that has dramatically increased the volume of social media, which includes the use of images and videos, visual understanding has attracted great interest in several areas such as multimedia, computer vision, and pattern recognition. Valuable auxiliary resources available on social websites, such as user-provided tags, aid in the tasks of visual understanding. Therefore, sev- eral methods have been proposed for exploring the auxiliary resources for tag refinement, image retrieval, and media sum- marization. This work conducts a comprehensive survey of recent advances in visual understanding by mining social media in order to discuss their merits and limitations. We then analyze the difficulties and challenges of visual understanding followed by several possible future research directions.
文摘Companies operating across borders face greater challenges in ensuring compliance with company strategy in different cultural contexts. Recent research shows the cognitive and emotional benefits of utilizing visual representations of knowledge in organizations. This study aims to test if mapping a corporate strategy visually can improve attitudes toward firm strategy and the intention to comply with it. An experiment is conducted comparing two knowledge maps to a textual version of the same company strategy. In order to measure attitudes toward the strategy, a scale was developed and tested in Europe and China. The study outcome provides a parsimonious and effective tripartite scale of attitude with cognitive, affective and behavioral components. The scale was then applied to a different sample to test the effect of mapping a company strategy visually on attitude toward the strategy, and to test if the effect is persistent in Europe and China. The results of the experiment show that subjects exposed to the visual conditions had significantly more positive affective and cognitive attitudes toward the content.