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
相关论文
共 50 条
  • [1] Towards Accurate Duplicate Bug Retrieval using Deep Learning Techniques
    Deshmukh, Jayati
    Annervaz, K. M.
    Podder, Sanjay
    Sengupta, Shubhashis
    Dubash, Neville
    2017 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION (ICSME), 2017, : 115 - 124
  • [2] Audio-based Near-Duplicate Video Retrieval with Audio Similarity Learning
    Avgoustinakis, Pavlos
    Kordopatis-Zilos, Giorgos
    Papadopoulos, Symeon
    Symeonidis, Andreas L.
    Kompatsiaris, Ioannis
    2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2021, : 5828 - 5835
  • [3] A SURVEY ON VIDEO FACE RECOGNITION USING DEEP LEARNING
    Mustapha, Muhammad Firdaus
    Mohamad, Nur Maisarah
    Hamid, Siti Haslini A. B.
    Malik, Mohd Azry Abdul
    Noor, Mohd Rahimie M. D.
    JOURNAL OF QUALITY MEASUREMENT AND ANALYSIS, 2022, 18 (01): : 49 - 62
  • [4] Recognition of cursive video text using a deep learning framework
    Mirza, Ali
    Siddiqi, Imran
    IET IMAGE PROCESSING, 2020, 14 (14) : 3444 - 3455
  • [5] A Comprehensive Survey on Deep Learning Techniques for Digital Video Forensics
    Vigneshwaran, T.
    Velammal, B. L.
    JOURNAL OF INFORMATION & KNOWLEDGE MANAGEMENT, 2024, 23 (03)
  • [6] A survey on deep learning techniques for image and video semantic segmentation
    Garcia-Garcia, Alberto
    Orts-Escolano, Sergio
    Oprea, Sergiu
    Villena-Martinez, Victor
    Martinez-Gonzalez, Pablo
    Garcia-Rodriguez, Jose
    APPLIED SOFT COMPUTING, 2018, 70 : 41 - 65
  • [7] Describing video scenarios using deep learning techniques
    Huang, Yin-Fu
    Shih, Li-Ping
    Tsai, Chia-Hsin
    Shen, Guan-Ting
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2021, 36 (06) : 2465 - 2490
  • [8] Stochastic Non-linear Hashing for Near-Duplicate Video Retrieval using Deep Feature applicable to Large-scale Datasets
    Byun, Sung-Woo
    Lee, Seok-Pil
    KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2019, 13 (08): : 4300 - 4314
  • [9] Deep Learning Innovations in Video Classification: A Survey on Techniques and Dataset Evaluations
    Mao, Makara
    Lee, Ahyoung
    Hong, Min
    ELECTRONICS, 2024, 13 (14)
  • [10] Exploring Video Captioning Techniques: A Comprehensive Survey on Deep Learning Methods
    Islam S.
    Dash A.
    Seum A.
    Raj A.H.
    Hossain T.
    Shah F.M.
    SN Computer Science, 2021, 2 (2)