Publication details
A Web Application for Subsequence Matching in 3D Human Motion Data
| Authors | |
|---|---|
| Year of publication | 2017 |
| Type | Article in Proceedings |
| Conference | 19th IEEE International Symposium on Multimedia |
| MU Faculty or unit | |
| Citation | |
| Doi | http://dx.doi.org/10.1109/ISM.2017.73 |
| Field | Informatics |
| Keywords | motion capture data; subsequence matching; similarity comparison; multi-level segmentation; real-time subsequence search; web demonstration application |
| Description | The subsequence-matching operation applied to motion capture data searches in long motion sequences to locate their parts that are similar to a query example. An effective and efficient implementation of such operation is valuable to increase reusability and findability of expensively recorded data in the past. This demonstration paper builds on recent advances in the field of motion-data processing and implements them into a single web application that allows users to discover query-similar subsequences. The proposed application does not require any textual annotations nor explicit knowledge of the data and can deal with spatio-temporal variances of human movements. Efficiency and effectiveness can be verified by searching a 12-hour database of motion sequences in real time. |
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