TY  - EJOU
AU  - Song, Wei 
AU  - Yu, Jing 
AU  - Zhao, Xiaobing 
AU  - Wang, Antai 

TI  - Research on Action Recognition and Content Analysis in Videos Based on DNN and MLN
T2  - Computers, Materials \& Continua

PY  - 2019
VL  - 61
IS  - 3
SN  - 1546-2226

AB  - 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.
KW  - Video action recognition
KW  -  deep learning network
KW  -  markov logic network

DO  - 10.32604/cmc.2019.06361