Daejeon, July 27–31
With the continuous development of image acquisition and 3D reconstruction technology, the digital protection of cultural heritage has gradually evolved from the early stage of image acquisition and 3D recording for resource preservation to a research stage that uses data to represent cultural connotations, promote cultural knowledge understanding and cultural semantic calculation. The construction of the correlation between cultural knowledge and non textual cultural data has become a hot research topic today.This article proposes a semantic annotation method for Dai dance motion capture data based on the three-layer framework of "form content meaning" through literature research, based on cultural semantic annotation, Panofsky's pre image chronicle theory (Sartini et al. 2023), and Laban dance score (Aristidou et al. 2015). The method completes the collection and semantic annotation of motion capture data for the Dai dance work "Moon", and realizes the hierarchical correlation between Dai dance motion capture data and Dai dance cultural knowledge.
The knowledge of Dai dance culture includes observable content such as dance variety names, dance categories, historical origins, action descriptions, and costumes, as well as deep meaning content such as dance symbols and cultural meanings. Due to the differences in semantic expression and cognitive understanding of knowledge from different cultures, semantic annotation faces varying degrees of challenges. Referring to Panofsky's progressive analysis path from "pre image description" to "image interpretation" [1], a three-tier framework of "form", "content", and "meaning" was developed through research on the "Yunnan Volume of Chinese Ethnic and Folk Dance Integration" and more than 20 literature related to Dai dance[3]-[23];Among them, the "formal layer" is used to describe the external elements that can be directly observed and recorded in Dai dance, mainly including dance types, action combinations, character images, basic forms, characteristic forms, basic movements, and rhythm characteristics; Dance genres include; Action combinations include:; The character image includes:; The basic forms include:; Characteristic mentality includes:; Basic actions include:; Rhythm features include. The formal layer is usually observed and recorded by data collection personnel on-site, and the "content layer" further relates the performance content and cultural context carried by dance movements, mainly including cultural information such as region, ethnicity, costumes and props, music scenes, emotional expression, festival activities, and labor life. At the same time, this article introduces the Laban Movement Analysis (LMA) (Shafir et al. 2016) as an important criterion for semantic annotation of "emotions" based on its motion characteristics such as weight, space, time, and fluidity in the force effect dimension. The 'meaning layer' focuses on revealing the aesthetic concepts and national cultural symbols behind the form and content of dance, thus forming a semantic expression structure that progresses from external form to cultural connotation layer by layer.
This article is based on a professional optical motion capture studio at the film and television level, and collects motion capture data on the classic Dai dance work "Moon" performed by professional dance performers. Through specialized algorithms such as multi view spatial triangulation and marker point recognition, a time-series dance motion capture data including 50 marker points is formed; Based on the three-layer framework of "form content meaning" proposed in this article, a semantic annotation method for Dai ethnic dance motion capture data was developed. The Laban force effect analysis was completed using joint motion curves in the 3D software MAYA, and the semantic annotation was completed on the Protégé semantic annotation platform (Musen 2015), ultimately forming an RDF dataset. As shown in Figure 1:
Figure 1. Research Flow Chart
This paper proposes a structured association method for Dai dance motion capture data and cultural knowledge, aiming to construct the relationship between cultural knowledge and non textual cultural data. The method achieves semantic mapping and association expression between the two at the three levels of "form content meaning". On this basis, taking the Dai dance work "Moon" as a case study, the semantic annotation and instance verification of its motion capture data were completed, verifying the feasibility and effectiveness of this method in the expression of ethnic dance cultural knowledge and the semantic association of non text data. In the future, we will further strengthen the construction and research of temporal semantic annotation methods for folk dance culture knowledge, in order to promote fine-grained cultural knowledge understanding and cultural semantic calculation.
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