Publicação

Integrating 3D Objects and Pose Estimation for Multimodal Video Annotations

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Detalhes bibliográficos
Resumo:With the recent technological advancements, using video has become a focal point on many ubiquitous activities, from presenting ideas to our peers to studying specific events or even simply storing relevant video clips. As a result, taking or making notes can become an invaluable tool in this process by helping us to retain knowledge, document information, or simply reason about recorded contents. This thesis introduces new features for a pre-existing Web-Based multimodal anno- tation tool, namely the integration of 3D components in the current system and pose estimation algorithms aimed at the moving elements in the multimedia content. There- fore, the 3D developments will allow the user to experience a more immersive interaction with the tool by being able to visualize 3D objects either in a neutral or 360º background to then use them as traditional annotations. Afterwards, mechanisms for successfully integrating these 3D models on the currently loaded video will be explored, along with a detailed overview of the use of keypoints (pose estimation) to highlight details in this same setting. The goal of this thesis will thus be the development and evaluation of these features seeking the construction of a virtual environment in which a user can successfully work on a video by combining different types of annotations.
Autores principais:Diogo, João Paulo Cabete Gonçalves
Assunto:Video Annotation Note-making Virtual 3D Models Pose Estimation Multimodal Interfaces HCI
Ano:2022
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso aberto
Instituição associada:Universidade Nova de Lisboa
Idioma:inglês
Origem:Repositório Institucional da UNL
Descrição
Resumo:With the recent technological advancements, using video has become a focal point on many ubiquitous activities, from presenting ideas to our peers to studying specific events or even simply storing relevant video clips. As a result, taking or making notes can become an invaluable tool in this process by helping us to retain knowledge, document information, or simply reason about recorded contents. This thesis introduces new features for a pre-existing Web-Based multimodal anno- tation tool, namely the integration of 3D components in the current system and pose estimation algorithms aimed at the moving elements in the multimedia content. There- fore, the 3D developments will allow the user to experience a more immersive interaction with the tool by being able to visualize 3D objects either in a neutral or 360º background to then use them as traditional annotations. Afterwards, mechanisms for successfully integrating these 3D models on the currently loaded video will be explored, along with a detailed overview of the use of keypoints (pose estimation) to highlight details in this same setting. The goal of this thesis will thus be the development and evaluation of these features seeking the construction of a virtual environment in which a user can successfully work on a video by combining different types of annotations.

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