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 s...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.展开更多
Holography is an interesting tool in creating real objects and scenes which can be projected anywhere with accurate details and depth impression. It is also found to be more attractive to the artists than other altern...Holography is an interesting tool in creating real objects and scenes which can be projected anywhere with accurate details and depth impression. It is also found to be more attractive to the artists than other alternatives. For that reason, digital holography is being used as a display technology in cartoon movies. Since this application is dependent on the performance and the simplicity of the available display technology, it becomes very useful to improve the display technique in order to become fast, simple, and attractive by being combined with computer graphical effects. This paper discusses a simulation of a digital holographic model as a three dimensional (3D) display system and its application in making cartoon holography.展开更多
Visual illustration transformation from real-world to cartoon images is one of the famous and challenging tasks in computer vision.Image-to-image translation from real-world to cartoon domains poses issues such as a l...Visual illustration transformation from real-world to cartoon images is one of the famous and challenging tasks in computer vision.Image-to-image translation from real-world to cartoon domains poses issues such as a lack of paired training samples,lack of good image translation,low feature extraction from the previous domain images,and lack of high-quality image translation from the traditional generator algorithms.To solve the above-mentioned issues,paired independent model,high-quality dataset,Bayesian-based feature extractor,and an improved generator must be proposed.In this study,we propose a high-quality dataset to reduce the effect of paired training samples on the model’s performance.We use a Bayesian Very Deep Convolutional Network(VGG)-based feature extractor to improve the performance of the standard feature extractor because Bayesian inference regu-larizes weights well.The generator from the Cartoon Generative Adversarial Network(GAN)is modified by introducing a depthwise convolution layer and channel attention mechanism to improve the performance of the original generator.We have used the Fréchet inception distance(FID)score and user preference score to evaluate the performance of the model.The FID scores obtained for the generated cartoon and real-world images are 107 and 76 for the TCC style,and 137 and 57 for the Hayao style,respectively.User preference score is also calculated to evaluate the quality of generated images and our proposed model acquired a high preference score compared to other models.We achieved stunning results in producing high-quality cartoon images,demonstrating the proposed model’s effectiveness in transferring style between authentic images and cartoon images.展开更多
The aim of this study was to investigate the temporal cortical activation patterns underlying different stages of humor comprehension (e.g., detection of incongruity stage, resolution of incongruity stage, and affecti...The aim of this study was to investigate the temporal cortical activation patterns underlying different stages of humor comprehension (e.g., detection of incongruity stage, resolution of incongruity stage, and affective stage). Event-related potentials (ERPs) were measured when 16 subjects were apprehending cartoon pictures including humorous, non-humorous and unrelated items. Results showed that both humorous and unrelated items elicited a more negative ERP deflection (N500-800) than non-humorous ones between 500 - 800 ms, which might reflect detection to incongruent element during humor apprehension. Then, both humorous and non-humorous items elicited a more positive ERP deflection (P800-1000) than unrelated ones between 800 - 1000 ms, which might reflect a classification process preliminarily evaluating whether there were attainable cues in the pictures used to form possible association between context and picture (we named it “association evaluation” stage). Furthermore, humorous items elicited a more positive slow wave than non-humorous items which also elicited a more positive wave than unrelated items between 1000 - 1600 ms, during which this component might be involved in the forming of novel associations (resolution of incongruity). Lastly, between 1600 - 2000 ms, humorous items elicited a more positive ERP deflection (P1600-2000) than both non-humorous and unrelated items, which might be related to emotion processing during humor apprehension. Based on these results, we deeply subdivided the second stage (resolution of incongruity) into two stages: association evaluation and incongruity resolution.展开更多
The main purpose of our paper is to identify and analyse the underlying stereotype attributes concerning accountant,accounting and users through cartoons.Doing so,we aim to capture insights of how this spectrum of soc...The main purpose of our paper is to identify and analyse the underlying stereotype attributes concerning accountant,accounting and users through cartoons.Doing so,we aim to capture insights of how this spectrum of society perceives actors involved on accounting issues.Our study also differs from others as our period of analysis is long,79 years,from 1925 to 2003.As we have the advantage of a long period and a popular non-professional database,we can work with multiple actors as accountant,accounting and users,instead of focusing on single one.And the richness of database also allowed splitting these main actors in 7 actors.In order to capture stereotype nuances of multiple actors from a cartoon database,we use discourse analysis method that has been used on other studies of identity but not to study accounting issues.As cartoons are composed by images and texts to give a message,it is richer to analyze discourse beyond images and texts.Our results are mainly consistent with previous studies although we found some different results when considering different periods of time as well new findings about tax actors such as taxpayers,tax agent and tax accounting.展开更多
文摘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.
文摘Holography is an interesting tool in creating real objects and scenes which can be projected anywhere with accurate details and depth impression. It is also found to be more attractive to the artists than other alternatives. For that reason, digital holography is being used as a display technology in cartoon movies. Since this application is dependent on the performance and the simplicity of the available display technology, it becomes very useful to improve the display technique in order to become fast, simple, and attractive by being combined with computer graphical effects. This paper discusses a simulation of a digital holographic model as a three dimensional (3D) display system and its application in making cartoon holography.
文摘Visual illustration transformation from real-world to cartoon images is one of the famous and challenging tasks in computer vision.Image-to-image translation from real-world to cartoon domains poses issues such as a lack of paired training samples,lack of good image translation,low feature extraction from the previous domain images,and lack of high-quality image translation from the traditional generator algorithms.To solve the above-mentioned issues,paired independent model,high-quality dataset,Bayesian-based feature extractor,and an improved generator must be proposed.In this study,we propose a high-quality dataset to reduce the effect of paired training samples on the model’s performance.We use a Bayesian Very Deep Convolutional Network(VGG)-based feature extractor to improve the performance of the standard feature extractor because Bayesian inference regu-larizes weights well.The generator from the Cartoon Generative Adversarial Network(GAN)is modified by introducing a depthwise convolution layer and channel attention mechanism to improve the performance of the original generator.We have used the Fréchet inception distance(FID)score and user preference score to evaluate the performance of the model.The FID scores obtained for the generated cartoon and real-world images are 107 and 76 for the TCC style,and 137 and 57 for the Hayao style,respectively.User preference score is also calculated to evaluate the quality of generated images and our proposed model acquired a high preference score compared to other models.We achieved stunning results in producing high-quality cartoon images,demonstrating the proposed model’s effectiveness in transferring style between authentic images and cartoon images.
文摘The aim of this study was to investigate the temporal cortical activation patterns underlying different stages of humor comprehension (e.g., detection of incongruity stage, resolution of incongruity stage, and affective stage). Event-related potentials (ERPs) were measured when 16 subjects were apprehending cartoon pictures including humorous, non-humorous and unrelated items. Results showed that both humorous and unrelated items elicited a more negative ERP deflection (N500-800) than non-humorous ones between 500 - 800 ms, which might reflect detection to incongruent element during humor apprehension. Then, both humorous and non-humorous items elicited a more positive ERP deflection (P800-1000) than unrelated ones between 800 - 1000 ms, which might reflect a classification process preliminarily evaluating whether there were attainable cues in the pictures used to form possible association between context and picture (we named it “association evaluation” stage). Furthermore, humorous items elicited a more positive slow wave than non-humorous items which also elicited a more positive wave than unrelated items between 1000 - 1600 ms, during which this component might be involved in the forming of novel associations (resolution of incongruity). Lastly, between 1600 - 2000 ms, humorous items elicited a more positive ERP deflection (P1600-2000) than both non-humorous and unrelated items, which might be related to emotion processing during humor apprehension. Based on these results, we deeply subdivided the second stage (resolution of incongruity) into two stages: association evaluation and incongruity resolution.
文摘The main purpose of our paper is to identify and analyse the underlying stereotype attributes concerning accountant,accounting and users through cartoons.Doing so,we aim to capture insights of how this spectrum of society perceives actors involved on accounting issues.Our study also differs from others as our period of analysis is long,79 years,from 1925 to 2003.As we have the advantage of a long period and a popular non-professional database,we can work with multiple actors as accountant,accounting and users,instead of focusing on single one.And the richness of database also allowed splitting these main actors in 7 actors.In order to capture stereotype nuances of multiple actors from a cartoon database,we use discourse analysis method that has been used on other studies of identity but not to study accounting issues.As cartoons are composed by images and texts to give a message,it is richer to analyze discourse beyond images and texts.Our results are mainly consistent with previous studies although we found some different results when considering different periods of time as well new findings about tax actors such as taxpayers,tax agent and tax accounting.
