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

Document Type

Article

Publication Date

1-1-2019

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.

Identifier

85075264756 (Scopus)

Publication Title

Computers Materials and Continua

External Full Text Location

https://doi.org/10.32604/cmc.2019.06361

e-ISSN

15462226

ISSN

15462218

First Page

1189

Last Page

1204

Issue

3

Volume

61

Grant

61331013

Fund Ref

Minzu University of China

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