COMPUTER VISION IN CULTURAL CONTEXT

In this project we consider a cultural activity classification problem, namely classification of Indian Classical Dance (ICD). In cultural point of view Indian classical dance, connected to entertainment as well as religion, has a long history. The earliest civilizations Mohenjo Daro and Harappa existed at the Indus valley in the Indian subcontinent in about 6000 B.C. At Mohenjo Daro there was a beautiful little statuette of dancing girl. The work is important not only for the retrieval but also for digitization of cultural heritage and analyze a particular dance language. To best of our knowledge this is a novel application of computer vision.


PUBLICATION

  • Soumitra Samanta and Bhabatosh Chanda, Indian Classical Dance Classification on Manifold using Jensen-Bregman LogDet Divergence, 22nd International Conference on Pattern Recognition (ICPR), 2014 [pdf] [bibtex] [dataset]

  • Soumitra Samanta and Bhabatosh Chanda, A Novel Technique for Space-Time-Interest Point Detection and Description for Dance Video Classification, 9th International Symposium on Visual Computing (ISVC), 2013 [pdf] [bibtex] [dataset]

  • Soumitra Samanta, Pulak Purkait and Bhabatosh Chanda, Indian Classical Dance Classification by Learning Dance Pose Bases, IEEE Workshop on the Applications of Computer Vision (WACV), 2012 [pdf] [bibtex] [dataset]