Research on action recognition and content analysis in videos based on DNN and MLN

Wei Song, Jing Yu, Xiaobing Zhao, Antai Wang

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

In the current era of multimedia information, it is increasingly urgent to realize intelligent video action recognition and content analysis. In the past few years, video action recognition, as an important direction in computer vision, has attracted many researchers and made much progress. First, this paper reviews the latest video action recognition methods based on Deep Neural Network and Markov Logic Network. Second, we analyze the characteristics of each method and the performance from the experiment results. Then compare the emphases of these methods and discuss the application scenarios. Finally, we consider and prospect the development trend and direction of this field.

Original languageEnglish (US)
Pages (from-to)1189-1204
Number of pages16
JournalComputers, Materials and Continua
Volume61
Issue number3
DOIs
StatePublished - 2019

All Science Journal Classification (ASJC) codes

  • Biomaterials
  • Modeling and Simulation
  • Mechanics of Materials
  • Computer Science Applications
  • Electrical and Electronic Engineering

Keywords

  • Deep learning network
  • Markov logic network
  • Video action recognition

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