A novel framework of video condensation and video retrieval process using hybrid meta-heuristic development with YOLO-based anomaly detection

被引:0
|
作者
Suhandas [1 ]
Kumar, G. Santhosh [2 ]
机构
[1] Department of Electronics and Communication Engineering, A J Institute of Engineering and Technology, NH-66, Kottara Chowki, Karnataka, Mangaluru,575006, India
[2] Department of Electronics and Communication Engineering, East West College of Engineering Bengaluru, CA Site-13, Major Akshay Girish Kumar Rd., Sector A, Yelahanka Satellite Town, Yelahanka New Town, Karnataka, Bengaluru,560064, India
关键词
Compendex;
D O I
10.1504/IJISTA.2024.140950
中图分类号
学科分类号
摘要
Security systems
引用
收藏
页码:281 / 312
相关论文
共 19 条
  • [1] An Effective Technique for Video Condensation and Retrieval Using Convolutional Neural Network with YOLO-Aided Anomaly Detection Framework
    Suhandas
    Santhosh Kumar, G.
    Proceedings of the 5th International Conference on Smart Electronics and Communication, ICOSEC 2024, 2024, : 991 - 1000
  • [2] Context Recovery and Knowledge Retrieval: A Novel Two-Stream Framework for Video Anomaly Detection
    Cao, Congqi
    Lu, Yue
    Zhang, Yanning
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 33 : 1810 - 1825
  • [3] A hybrid heuristic model for video surveillance-based on object detection and video anomaly classification using optimized Bi-LSTM-RBF
    Ramasamy, Dhivya Praba
    Kanagaraj, Kavitha
    Kumarasamy, Jasmine
    SIGNAL IMAGE AND VIDEO PROCESSING, 2025, 19 (06)
  • [4] Thyroid Detection and Classification Using DNN Based on Hybrid Meta-Heuristic and LSTM Technique
    Mohan, E.
    Saravanan, P.
    Natarajan, Balaji
    Kumer, S. V. Aswin
    Sambasivam, G.
    Kanna, G. Prabu
    Tyagi, Vaibhav Bhushan
    IEEE ACCESS, 2023, 11 : 68127 - 68138
  • [5] Optimal frame selection-based watermarking using a meta-heuristic algorithm for securing video content
    Singh, Roop
    Pal, Raju
    Joshi, Deepak
    COMPUTERS & ELECTRICAL ENGINEERING, 2025, 121
  • [6] A Novel Framework For Anomaly Detection in Video Surveillance Using Multi-Feature Extraction
    Li, Qiang
    Li, Weihai
    PROCEEDINGS OF 2016 9TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 1, 2016, : 455 - 459
  • [7] A video anomaly detection framework based on hybrid feature-enhanced memory reconstruction and jigsaw puzzle
    Liu, Hongfei
    He, Ning
    Huang, Xunrui
    Li, Runjie
    SIGNAL IMAGE AND VIDEO PROCESSING, 2025, 19 (01)
  • [8] Content-based medical image retrieval using deep learning-based features and hybrid meta-heuristic optimization
    Shetty, Rani
    Bhat, Vandana S.
    Pujari, Jagadeesh
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2024, 92
  • [9] A Novel Unsupervised Video Anomaly Detection Framework Based on Optical Flow Reconstruction and Erased Frame Prediction
    Huang, Heqing
    Zhao, Bing
    Gao, Fei
    Chen, Penghui
    Wang, Jun
    Hussain, Amir
    SENSORS, 2023, 23 (10)
  • [10] Optimal load balancing strategy-based centralised sensor for a WSN-based cloud-IoT framework using a hybrid meta-heuristic strategy
    Yogaraja, G. S. R.
    Thippeswamy, M. N.
    Venkatesh, K.
    INTERNATIONAL JOURNAL OF AUTONOMOUS AND ADAPTIVE COMMUNICATIONS SYSTEMS, 2024, 17 (03) : 247 - 271