A Video Content Classification Algorithm Applying to Human Action Recognition

Authors

  • Tanfeng Sun Shanghai Jiao Tong University, National Engineering Lab on Information Content Analysis Techniques
  • Xinghao Jiang Shanghai Jiao Tong University, National Engineering Lab on Information Content Analysis Techniques
  • Chengming Jiang Shanghai Jiao Tong University
  • Yaqing Li Shanghai Jiao Tong University

DOI:

https://doi.org/10.5755/j01.eee.19.4.4056

Keywords:

Image recognition, pattern analysis, audio signature, Spatial-temporal Variation Histogram

Abstract

A new classification algorithm of human action recognition of video content is suggested in our paper. It analyzes the variation of the content of video scenes or human action from video bi-modal features, in order to cognize content efficiently and precisely. This scheme is based on the pattern analysis of spatio-temporal slices and audio signature feature extracted from the video files. The Spatial-temporal Variation Histogram feature is firstly defined in our paper. It is applied to describe spatio-temporal variation analysis of human action or video scenes. The audio signature is also applied to identify the audio content by extracting unique signatures from a part of audio signal. The experiments show excellent performance of classification on the KTH dataset.

DOI: http://dx.doi.org/10.5755/j01.eee.19.4.4056

Downloads

Published

2013-04-10

How to Cite

Sun, T., Jiang, X., Jiang, C., & Li, Y. (2013). A Video Content Classification Algorithm Applying to Human Action Recognition. Elektronika Ir Elektrotechnika, 19(4), 61-64. https://doi.org/10.5755/j01.eee.19.4.4056

Issue

Vol. 19 No. 4 (2013)

Section

SYSTEM ENGINEERING, COMPUTER TECHNOLOGY

License

The copyright for the paper in this journal is retained by the author(s) with the first publication right granted to the journal. The authors agree to the Creative Commons Attribution 4.0 (CC BY 4.0) agreement under which the paper in the Journal is licensed.

By virtue of their appearance in this open access journal, papers are free to use with proper attribution in educational and other non-commercial settings with an acknowledgement of the initial publication in the journal.