While much research has been done in text-to-image synthesis, little work has been done to explore the usage of linguistic structure of the input text. Such information is even more important for story visualization since its inputs have an explicit
narrative structure that needs to be translated into an image sequence (or visual story). Prior work in this domain has shown that there is ample room for improvement in the generated image sequence in terms of visual quality, consistency and relevance. In this paper, we first explore the use of constituency parse trees using a Transformer-based recurrent architecture for encoding structured input. Second, we augment the structured input with commonsense information and study the impact of this external knowledge on the generation of visual story. Third, we also incorporate visual structure via bounding boxes and dense captioning to provide feedback about the characters/objects in generated images within a dual learning setup. We show that off-the-shelf dense-captioning models trained on Visual Genome can improve the spatial structure of images from a different target domain without needing fine-tuning. We train the model end-to-end using intra-story contrastive loss (between words and image sub-regions) and show significant improvements in visual quality. Finally, we provide an analysis of the linguistic and visuo-spatial information.
We propose semantic visualization as a linguistic visual analytic method. It can enable exploration and discovery over large datasets of complex networks by exploiting the semantics of the relations in them. This involves extracting information, appl
ying parameter reduction operations, building hierarchical data representation and designing visualization. We also present the accompanying COVID-SemViz a searchable and interactive visualization system for knowledge exploration of COVID-19 data to demonstrate the application of our proposed method. In the user studies, users found that semantic visualization-powered COVID-SemViz is helpful in terms of finding relevant information and discovering unknown associations.
لتوصيل المعلومات بوضوح وكفاءة ، يستخدم تمثيل البيانات رسومات إحصائية ومعلومات وأدوات أخرى. قد يتم تشفير البيانات الرقمية باستخدام نقاط أو خطوط أو أشرطة لتوصيل المعلومات بصريًا. التمثيل الفعال يساعد المستخدمين على تحليل البيانات وتفسيرها، فهو يجعل الب
يانات المعقدة سهلة الوصول ومفهومة وقابلة للاستخدام. تُستخدم الجداول عمومًا حيث يبحث المستخدمون عن قياس محدد ، بينما تُستخدم المخططات ذات الأنواع المختلفة لإظهار أنماط أو علاقات في البيانات لمتغير واحد أو أكثر.
Undergraduate academic education stage is of great importance for a student of
architectural art in all its dimensions and specializations, the most important of which is
architectural design, where the diverse nature of projects that are presented
for him in a
quest to identify most functions that human –made buildings occupy and these changes
synchronized and updated the path of development and needs. Perhaps the commercial
servicing buildings are the most important of these current facilities which the architectural
education sector in the Faculty of architecture of the University. Because their are
architectural structure that have met a distinguished attention and demand locally and
internationally, to satisfy the improvement of labor market and the details of the daily
modern life, in the light of the conducted methodology in teaching the "Architectural
Design" course, which the research spots light on through the analysis of a group of
projects that were designed by students, to evaluate its consistency with the essence of the
period in follow up with the most important things that are presented in the field of
architecture internationally of theories and ideas, and with the various needs of users that
are identified in the contents of the project on one hand, and with the conditions and rules
of building rules in the city which has imposed a current situation the research will study.
