TY - SER
KW - Classification (of information)
KW - Classification accuracy
KW - Folk dances
KW - Intelligent systems
KW - K-NN classifications
KW - Motion Vectors
KW - Movement phrase
KW - Nearest neighbor search
KW - Table lookup
KW - Teaching
KW - Video Annotation
KW - Video annotations
KW - Vietnamese
KW - Vietnamese folk dance
AU - C. Ma-Thi
AU - K. Tabia
AU - S. Lagrue
AU - H. Le-Thanh
AU - D. Bui-The
AU - T. Nguyen-Thanh
AB - This paper aims at the annotation of movement phrases in Vietnamese folk dance videos that were mainly gathered, stored and used in teaching at art schools and in preserving cultural intangible heritages (performed by different famous folk dance masters). We propose a framework of automatic movement phrase annotation, in which the motion vectors are used as movement phrase features. Movement phrase classification can be carried out, based on dancer’s trajectories. A deep investigation of Vietnamese folk dance gives an idea of using optical flow as movement phrase features in movement phrase detection and classification. For the richness and usefulness in annotation of Vietnamese folk dance, a lookup table of movement phrase descriptions is defined. In initial experiments, a sample movement phrase dataset is built up to train k-NN classification model. Experiments have shown the effectiveness of the proposed framework of automatic movement phrase annotation with classification accuracy at least 88\%.
C1 - 30th International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems, IEA/AIE 2017
DO - 10.1007/978-3-319-60045-1_1
LA - English
N1 - Journal Abbreviation: Lect. Notes Comput. Sci. Pages: 11 Publication Title: Lect. Notes Comput. Sci.
N2 - This paper aims at the annotation of movement phrases in Vietnamese folk dance videos that were mainly gathered, stored and used in teaching at art schools and in preserving cultural intangible heritages (performed by different famous folk dance masters). We propose a framework of automatic movement phrase annotation, in which the motion vectors are used as movement phrase features. Movement phrase classification can be carried out, based on dancer’s trajectories. A deep investigation of Vietnamese folk dance gives an idea of using optical flow as movement phrase features in movement phrase detection and classification. For the richness and usefulness in annotation of Vietnamese folk dance, a lookup table of movement phrase descriptions is defined. In initial experiments, a sample movement phrase dataset is built up to train k-NN classification model. Experiments have shown the effectiveness of the proposed framework of automatic movement phrase annotation with classification accuracy at least 88\%.
PB - Springer Verlag
PY - 2017
SN - 03029743 (ISSN); 9783319600444 (ISBN)
TI - Annotating movement phrases in Vietnamese folk dance videos
UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026310129&doi=10.1007%2f978-3-319-60045-1_1&partnerID=40&md5=52e7df4cee3c5098575214431f97a6ab
VL - 10351 LNCS
ER -