Motion Words: A Text-like Representation of 3D Skeleton Sequences

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Publikace nespadá pod Fakultu sportovních studií, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.
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SEDMIDUBSKÝ Jan BUDÍKOVÁ Petra DOHNAL Vlastislav ZEZULA Pavel

Rok publikování 2020
Druh Článek ve sborníku
Konference 42nd European Conference on Information Retrieval (ECIR)
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
Doi http://dx.doi.org/10.1007/978-3-030-45439-5_35
Klíčová slova 3D skeleton sequence;motion word;motion vocabulary;quantization;border problem;text-based processing
Popis There is a growing amount of human motion data captured as a continuous 3D skeleton sequence without any information about its semantic partitioning. To make such unsegmented and unlabeled data efficiently accessible, we propose to transform them into a text-like representation and employ well-known text retrieval models. Specifically, we partition each motion synthetically into a sequence of short segments and quantize the segments into motion words, i.e. compact features with similar characteristics as words in text documents. We introduce several quantization techniques for building motion-word vocabularies and propose application-independent criteria for assessing the vocabulary quality. We verify these criteria on two real-life application scenarios.
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