Index-Based Motion Retrieval

In Chap. 11, we gave an answer to the first question by introducing the concept of feature sequences, which represent motion capture data streams as coarse sequences of binary vectors. In Sect. 12.1, we will formally introduce the concepts of exact hits, fuzzy hits, and adaptive fuzzy hits. We then describe how one can compute such hits using an inverted file index. The proposed indexing and matching techniques can be put to use in a variety of query modes. Here, the possibilities range from isolated pose-based queries up to query-by-example (QBE), where the user supplies the system with a short query motion clip. In Sect. 12.2, we present a flexible and efficient QBE-based motion retrieval system and report on experimental results. Furthermore, we show how our relational approach to motion comparison can be used as a general tool for efficient motion preprocessing (Sect. 12.3). Finally, we discuss some problems and limitation of the presented index-based techniques and close with a discussion of related work (Sect. 12.4).