Abstract
In the performing arts context, video analysis plays a significant role in analyzing the artists’ movement in educational and professional artistic environments. However, current research lacks user-centered systems for artists to directly engage with movement detection in their respective practice recordings. Our framework presents an annotation tool capable of automatically analyzing human poses of individual examples in real-time and presenting motion data in the form of simple reports.
At the core of this system, augmenting multimedia content by manually adding different types of annotations to the intended video segment is possible. Therefore, we developed novel features that combine automatic intelligent movement analysis with manual annotation capabilities for a more rewarding and efficient user experience. We demonstrate how pose estimation techniques can be employed to set up customized sets of human poses that can be automatically identified in videos. In addition, this paper discusses the results obtained from two system evaluation phases, where we report our findings based on expert feedback.
At the core of this system, augmenting multimedia content by manually adding different types of annotations to the intended video segment is possible. Therefore, we developed novel features that combine automatic intelligent movement analysis with manual annotation capabilities for a more rewarding and efficient user experience. We demonstrate how pose estimation techniques can be employed to set up customized sets of human poses that can be automatically identified in videos. In addition, this paper discusses the results obtained from two system evaluation phases, where we report our findings based on expert feedback.
Original language | English |
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Title of host publication | Human-Computer Interaction – INTERACT 2023 |
Subtitle of host publication | 19th IFIP TC13 International Conference, York, UK, August 28 – September 1, 2023, Proceedings, Part III |
Editors | José Abdelnour Nocera, Marta Kristín Lárusdóttir, Helen Petrie, Antonio Piccinno, Marco Winckler |
Place of Publication | Cham |
Publisher | Springer |
Chapter | 32 |
Pages | 567-587 |
Number of pages | 20 |
ISBN (Electronic) | 978-3-031-42286-7 |
ISBN (Print) | 978-3-031-42285-0 |
DOIs | |
Publication status | Published - 2023 |
Event | 19th IFIP TC13 International Conference - York, United Kingdom Duration: 28 Aug 2023 → 1 Sept 2023 |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Volume | 14144 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 19th IFIP TC13 International Conference |
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Country/Territory | United Kingdom |
City | York |
Period | 28/08/23 → 1/09/23 |
Keywords
- HCI
- Human Pose Estimation
- Movement Detection
- Video Augmentation and Annotation
- intelligent tools