Informace o projektu
Searching, Mining, and Annotating Human Motion Streams
- Kód projektu
- GA19-02033S
- Období řešení
- 1/2019 - 12/2021
- Investor / Programový rámec / typ projektu
-
Grantová agentura ČR
- Standardní projekty
- Fakulta / Pracoviště MU
- Fakulta informatiky
Motion capturing devices have become widely available, which resulted in large volumes of 3D human motion data produced in a variety of application domains, ranging from entertainment to medicine. However, automatized processing of such data is a challenging problem because their inherent spatio-temporal nature implies that the same action can be performed in a number of alternatives that vary in speed, timing, or location in space. Moreover, the captured data are imprecise and voluminous, as hundreds of megabytes per hour are obtained during tracking only 3D positions of body joints. Therefore, the employment of basic data-processing paradigms is much more intriguing, when compared to the traditional domains such as text or images. In the proposed project, we aim at developing new theories and technologies for three interconnected open problems of content-based searching, annotating, and mining in motion data streams. Taking into account the fast growth of motion data volumes, a lot of attention will be given to the scalability of proposed solutions.
Publikace
Počet publikací: 21
2021
-
Understanding the Limits of 2D Skeletons for Action Recognition
Multimedia Systems, rok: 2021, ročník: 27, vydání: 3, DOI
2020
-
Algebra for Complex Analysis of Data
International Conference on Database and Expert Systems Applications, rok: 2020
-
Assessing the Learning of Folk Dance Movements Using Immersive Virtual Reality
2020 24th International Conference on Information Visualisation (IV), rok: 2020
-
Motion Words: A Text-like Representation of 3D Skeleton Sequences
42nd European Conference on Information Retrieval (ECIR), rok: 2020
-
Towards Scalable Retrieval of Human Motion Episodes
22nd IEEE International Symposium on Multimedia (ISM), rok: 2020
2019
-
Augmenting Spatio-Temporal Human Motion Data for Effective 3D Action Recognition
21st IEEE International Symposium on Multimedia (ISM), rok: 2019
-
Benchmarking Search and Annotation in Continuous Human Skeleton Sequences
International Conference on Multimedia Retrieval (ICMR), rok: 2019
-
Recognizing User-Defined Subsequences in Human Motion Data
International Conference on Multimedia Retrieval (ICMR), rok: 2019
-
Similarity Management of Data: The DISA Experience
Proceedings of the 27th Italian Symposium on Advanced Database Systems, rok: 2019
-
Similarity Search in 3D Human Motion Data
International Conference on Multimedia Retrieval (ICMR), rok: 2019