A Survey on Near Duplicate Video Retrieval Using Deep Learning Techniques and Framework

被引:2
|
作者
Phalke, Dhanashree Ajay [1 ]
Jahirabadkar, Sunita [2 ]
机构
[1] Savitribai Phule Pune Univ, Dept Technol, Pune, Maharashtra, India
[2] Cummins Coll Engn Women, Dept Comp Engn, Pune, Maharashtra, India
来源
2020 IEEE PUNE SECTION INTERNATIONAL CONFERENCE (PUNECON) | 2020年
关键词
NDVR; Deep learning; Convolutional Neural Network; Deep Learning Framework;
D O I
10.1109/PuneCon50868.2020.9362347
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The field of machine learning is going through its golden era. Deep Learning, the subfield of Machine Learning has seen amazing applications in various areas. The perception of information is extracted by using different layers of Deep Learning. Numerous deep learning algorithms like Convolutional Neural Networks (CNN), Generative Adversarial Networks (GAN) have completely changed the viewpoint of researchers of data science and big data. However, still there is huge scope of learning in this extremely quick-paced domain. The use of deep learning for Near Duplicate Video Retrieval (NDVR) shows the popularity of various algorithms of deep learning amongst researchers. This survey provides an overview of Near Duplicate Video Retrieval (NDVR) using deep learning and trends in development and usage of revolutionary Deep Learning frameworks, tools and their applications in recent years.
引用
收藏
页码:124 / 128
页数:5
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