We have developed a fast switching twisted-vertically aligned (TVA)-mode reflective liquid crystal display (LCD) using a mortar-shaped pixel structure. We realized an axially symmetric pretilt angle in each pixel using the mortar-shaped pixel structure fabricated using UV pattern exposure. We experimentally confirmed that the axis-symmetric alignment from the mortar-shaped structure controls the start point of the alignment change in the voltage-on state over the entire surface of the pixel region, and is effective in improving the response speed of the TVA-mode LCD.
{"title":"[Paper] Axis-symmetric Alignment Achieved by using a Mortarshaped Pixel Structure for Fast Switching Twistedvertically aligned-mode Reflective LCDs","authors":"T. Ishinabe, Yutaro Kuge, Y. Shibata, H. Fujikake","doi":"10.3169/mta.7.169","DOIUrl":"https://doi.org/10.3169/mta.7.169","url":null,"abstract":"We have developed a fast switching twisted-vertically aligned (TVA)-mode reflective liquid crystal display (LCD) using a mortar-shaped pixel structure. We realized an axially symmetric pretilt angle in each pixel using the mortar-shaped pixel structure fabricated using UV pattern exposure. We experimentally confirmed that the axis-symmetric alignment from the mortar-shaped structure controls the start point of the alignment change in the voltage-on state over the entire surface of the pixel region, and is effective in improving the response speed of the TVA-mode LCD.","PeriodicalId":41874,"journal":{"name":"ITE Transactions on Media Technology and Applications","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3169/mta.7.169","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69650471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Separating reflection components is a fundamental problem in computer vision and useful for many applications such as image quality. We propose a novel method that improves the accuracy of separating reflection components from a single image. Although several algorithms for separating reflection components have been proposed, our method can additionally improve the accuracy based on their results. First, we obtain diffuse and specular components by using an existing algorithm. Then, we apply a high-emphasis filter for each component. Since the responses of the high-emphasis filter where the separation fails become larger than the original values, we can detect erroneous pixels. Thus, we replace separation results of these erroneous pixels with results of other reference pixels from the image considering the similarity between the target and reference pixels. Experimental results show that our method can improve at most 13.61 dB in terms of the Peak Signal-to-Noise Ratio (PSNR).
{"title":"[papers] General Improvement Method of Specular Component Separation Using High-Emphasis Filter and Similarity Function","authors":"Takahisa Yamamoto, A. Nakazawa","doi":"10.3169/MTA.7.92","DOIUrl":"https://doi.org/10.3169/MTA.7.92","url":null,"abstract":"Separating reflection components is a fundamental problem in computer vision and useful for many applications such as image quality. We propose a novel method that improves the accuracy of separating reflection components from a single image. Although several algorithms for separating reflection components have been proposed, our method can additionally improve the accuracy based on their results. First, we obtain diffuse and specular components by using an existing algorithm. Then, we apply a high-emphasis filter for each component. Since the responses of the high-emphasis filter where the separation fails become larger than the original values, we can detect erroneous pixels. Thus, we replace separation results of these erroneous pixels with results of other reference pixels from the image considering the similarity between the target and reference pixels. Experimental results show that our method can improve at most 13.61 dB in terms of the Peak Signal-to-Noise Ratio (PSNR).","PeriodicalId":41874,"journal":{"name":"ITE Transactions on Media Technology and Applications","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3169/MTA.7.92","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69650975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"[Foreword] Welcome to the Special Section on Doctoral Student Papers","authors":"Yoichi Sato","doi":"10.3169/MTA.7.1","DOIUrl":"https://doi.org/10.3169/MTA.7.1","url":null,"abstract":"","PeriodicalId":41874,"journal":{"name":"ITE Transactions on Media Technology and Applications","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69649982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"[Foreword] Welcome to the Special Section on IDW '18","authors":"M. Kimura","doi":"10.3169/mta.7.159","DOIUrl":"https://doi.org/10.3169/mta.7.159","url":null,"abstract":"","PeriodicalId":41874,"journal":{"name":"ITE Transactions on Media Technology and Applications","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69650132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"[Papers] BumpMarker: a 3D-printed tangible marker for simultaneous tagging, tracking, and weight measurement","authors":"Changyo Han, T. Naemura","doi":"10.3169/MTA.7.11","DOIUrl":"https://doi.org/10.3169/MTA.7.11","url":null,"abstract":"","PeriodicalId":41874,"journal":{"name":"ITE Transactions on Media Technology and Applications","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69650147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Y. Shibata, Daisuke Minami, T. Ishinabe, H. Fujikake
{"title":"[Paper] Low-Temperature Processed Interdigitated Polymer Spacer on Plastic Substrate Using Structural Transfer Method for Flexible Liquid Crystal Displays","authors":"Y. Shibata, Daisuke Minami, T. Ishinabe, H. Fujikake","doi":"10.3169/mta.7.190","DOIUrl":"https://doi.org/10.3169/mta.7.190","url":null,"abstract":"","PeriodicalId":41874,"journal":{"name":"ITE Transactions on Media Technology and Applications","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69650895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tetsuya Watanabe, Hirotsugu Kaga, M. Kobayashi, Kazunori Minatani
{"title":"[Paper] Touchscreen Text Entry Methods Used by Blind and Low Vision Users","authors":"Tetsuya Watanabe, Hirotsugu Kaga, M. Kobayashi, Kazunori Minatani","doi":"10.3169/MTA.7.134","DOIUrl":"https://doi.org/10.3169/MTA.7.134","url":null,"abstract":"","PeriodicalId":41874,"journal":{"name":"ITE Transactions on Media Technology and Applications","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69650340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kentaro Kusama, T. Ishinabe, T. Ohrui, H. Fujikake
{"title":"[Paper] Control of Internal Columnar Polymer Structures in Anisotropic Light Diffusing Film for Wide Viewing Angle Reflective Displays","authors":"Kentaro Kusama, T. Ishinabe, T. Ohrui, H. Fujikake","doi":"10.3169/mta.7.176","DOIUrl":"https://doi.org/10.3169/mta.7.176","url":null,"abstract":"","PeriodicalId":41874,"journal":{"name":"ITE Transactions on Media Technology and Applications","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3169/mta.7.176","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69650710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper presents an interactive face retrieval framework for clarifying an image representation envisioned by a user. Our system is designed for a situation in which the user wishes to find a person but has only visual memory of the person. We address a critical challenge of image retrieval across the user’s inputs. Instead of target-specific information, the user can select several images that are similar to an impression of the target person the user wishes to search for. Based on the user’s selection, our proposed system automatically updates a deep convolutional neural network. By interactively repeating these process, the system can reduce the gap between human-based similarities and computer-based similarities and estimate the target image representation. We ran user studies with 10 participants on a public database and confirmed that the proposed framework is effective for clarifying the image representation envisioned by the user easily and quickly.
{"title":"[Invited papers] Interactive Face Retrieval Framework for Clarifying User's Visual Memory","authors":"Yugo Sato, Tsukasa Fukusato, S. Morishima","doi":"10.3169/MTA.7.68","DOIUrl":"https://doi.org/10.3169/MTA.7.68","url":null,"abstract":"This paper presents an interactive face retrieval framework for clarifying an image representation envisioned by a user. Our system is designed for a situation in which the user wishes to find a person but has only visual memory of the person. We address a critical challenge of image retrieval across the user’s inputs. Instead of target-specific information, the user can select several images that are similar to an impression of the target person the user wishes to search for. Based on the user’s selection, our proposed system automatically updates a deep convolutional neural network. By interactively repeating these process, the system can reduce the gap between human-based similarities and computer-based similarities and estimate the target image representation. We ran user studies with 10 participants on a public database and confirmed that the proposed framework is effective for clarifying the image representation envisioned by the user easily and quickly.","PeriodicalId":41874,"journal":{"name":"ITE Transactions on Media Technology and Applications","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69650880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nonparametric topic models such as hierarchical Dirichlet processes (HDP) have been attracting more and more attentions for multimedia data analysis. However, the existing models for multimedia data are unsupervised ones that purely cluster semantically or characteristically related features into a specific latent topic without considering side information such as class information. In this paper, we present a novel supervised sequential symmetric correspondence HDP (Sup-SSC-HDP) model for multi-class video classification, where the empirical topic frequencies learned from multimodal video data are modeled as a predictor of video class. Qualitative and quantitative assessments demonstrate the effectiveness
{"title":"[Invited papers] Supervised Nonparametric Multimodal Topic Models for Multi-class Video Classification","authors":"Jianfei Xue, K. Eguchi","doi":"10.3169/MTA.7.80","DOIUrl":"https://doi.org/10.3169/MTA.7.80","url":null,"abstract":"Nonparametric topic models such as hierarchical Dirichlet processes (HDP) have been attracting more and more attentions for multimedia data analysis. However, the existing models for multimedia data are unsupervised ones that purely cluster semantically or characteristically related features into a specific latent topic without considering side information such as class information. In this paper, we present a novel supervised sequential symmetric correspondence HDP (Sup-SSC-HDP) model for multi-class video classification, where the empirical topic frequencies learned from multimodal video data are modeled as a predictor of video class. Qualitative and quantitative assessments demonstrate the effectiveness","PeriodicalId":41874,"journal":{"name":"ITE Transactions on Media Technology and Applications","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69650920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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