Ninth International Conference on Signal-Image Technology & Internet-Based Systems, SITIS 2013, Kyoto, Japan, December 2-5, 2013

International audienc

国際付加価値貿易とアジアの政治的距離のネットワーク分析による地域経済統合の研究

学位プログラム名: 京都大学大学院思修館京都大学新制・課程博士博士(総合学術)甲第24949号総総博第31号京都大学大学院総合生存学館総合生存学専攻(主査)教授 池田 裕一, 教授 IALNAZOV Dimiter Savov, 准教授 関山 健, 安橋 正人 (奈良女子大学)学位規則第4条第1項該当Doctor of PhilosophyKyoto UniversityDFA

Interactive Experience Design: Integrated and Tangible Storytelling with Maritime Museum Artefacts

Museums play the role of intermediary between cultural heritage and visitors, and are often described as places and environments for education and enjoyment. The European Union also encourages innovative uses of museums to support education through the cultural heritage resources. However, the importance of visitors’ active role in museums as places for education and entertainment, on the one hand, and the growing and indispensable presence of technology in the cultural heritage domain, on the other hand, provided the initial ideas to develop the research. This thesis, presents the study and design for an interactive storytelling installation for a maritime museum. The installation is designed to integrate different museum artefacts into the storytelling system to enrich the visitors experience through tangible storytelling. The project was conducted in collaboration with another PhD student, Luca Ciotoli. His contribution was mainly focused on the narrative and storytelling features of the research, while my contribution was focused on the interaction- and technology-related features, including the design and implementation of the prototype. The research is deployed using a four-phase iterative approach. The first phase of the research, Study, deals with literature review and different studies to identify the requirements. The second phase, Design, determines the broad outlines of the project i.e., an interactive storytelling installation. The design phase includes interaction and museum experience design. We investigated different design approaches, e.g., interaction and museum experience design, to develop a conceptual design. The third phase, prototype, allows us to determine how to fulfill the tasks and meet the requirements that are established for the research. Prototyping involves content creation, storyboarding, integrating augmented artefacts into the storytelling system. Th final phase, test, refers to the evaluations that are conducted during the aforementioned phases e.g., formative and the final usability testing with users. The outcome of the research confirms previous results in the literature about how digital narratives can be enriched with the tangible dimension, moreover it shows how this dimension can enable to communicate stories and knowledge of the past that are complex, such as the art of navigating in the past, by integrating tangible objects that play different roles in the storytelling process

Human action recognition using spatial-temporal analysis.

Masters Degree. University of KwaZulu-Natal, Durban.In the past few decades’ human action recognition (HAR) from video has gained a lot of attention in the computer vision domain. The analysis of human activities in videos span a variety of applications including security and surveillance, entertainment, and the monitoring of the elderly. The task of recognizing human actions in any scenario is a difficult and complex one which is characterized by challenges such as self-occlusion, noisy backgrounds and variations in illumination. However, literature provides various techniques and approaches for action recognition which deal with these challenges. This dissertation focuses on a holistic approach to the human action recognition problem with specific emphasis on spatial-temporal analysis. Spatial-temporal analysis is achieved by using the Motion History Image (MHI) approach to solve the human action recognition problem. Three variants of MHI are investigated, these are: Original MHI, Modified MHI and Timed MHI. An MHI is a single image describing a silhouettes motion over a period of time. Brighter pixels in the resultant MHI show the most recent movement/motion. One of the key problems of MHI is that it is not easy to know the conditions needed to obtain an MHI silhouette that will result in a high recognition rate for action recognition. These conditions are often neglected and thus pose a problem for human action recognition systems as they could affect their overall performance. Two methods are proposed to solve the human action recognition problem and to show the conditions needed to obtain high recognition rates using the MHI approach. The first uses the concept of MHI with the Bag of Visual Words (BOVW) approach to recognize human actions. The second approach combines MHI with Local Binary Patterns (LBP). The Weizmann and KTH datasets are then used to validate the proposed methods. Results from experiments show promising recognition rates when compared to some existing methods. The BOVW approach used in combination with the three variants of MHI achieved the highest recognition rates compared to the LBP method. The original MHI method resulted in the highest recognition rate of 87% on the Weizmann dataset and an 81.6% recognition rate is achieved on the KTH dataset using the Modified MHI approach

Entropy in Image Analysis II

Image analysis is a fundamental task for any application where extracting information from images is required. The analysis requires highly sophisticated numerical and analytical methods, particularly for those applications in medicine, security, and other fields where the results of the processing consist of data of vital importance. This fact is evident from all the articles composing the Special Issue "Entropy in Image Analysis II", in which the authors used widely tested methods to verify their results. In the process of reading the present volume, the reader will appreciate the richness of their methods and applications, in particular for medical imaging and image security, and a remarkable cross-fertilization among the proposed research areas

Proceedings of the European Conference on Agricultural Engineering AgEng2021

This proceedings book results from the AgEng2021 Agricultural Engineering Conference under auspices of the European Society of Agricultural Engineers, held in an online format based on the University of Évora, Portugal, from 4 to 8 July 2021. This book contains the full papers of a selection of abstracts that were the base for the oral presentations and posters presented at the conference. Presentations were distributed in eleven thematic areas: Artificial Intelligence, data processing and management; Automation, robotics and sensor technology; Circular Economy; Education and Rural development; Energy and bioenergy; Integrated and sustainable Farming systems; New application technologies and mechanisation; Post-harvest technologies; Smart farming / Precision agriculture; Soil, land and water engineering; Sustainable production in Farm buildings