Video Segmentation : Techniques, Applications, and Challenges

Authors

  • Dr. Sheshang Degadwala Professor and Head, Department of Computer Engineering, Sigma University, Vadodara, Gujarat, India Author

DOI:

https://doi.org/10.32628/CSEIT2410612420

Keywords:

Video Segmentation, Deep Learning, Convolutional Neural Networks, Temporal Consistency, Object Tracking, Video Analysis, Computer Vision

Abstract

One of the core issues in computer vision is video segmentation, which is the process of dividing video content into meaningful and discrete pieces. It makes a wide range of applications possible, including video compression, action identification, object tracking, and video summary. The accuracy and efficiency of video segmentation tasks have significantly increased due to recent developments in deep learning, specifically convolutional neural networks (CNNs) and recurrent neural networks (RNNs). The two primary kinds of video segmentation techniques—pixel-level segmentation and object-level segmentation—are outlined in this work. We examine important techniques, assess their effectiveness, and talk about the difficulties that contemporary video segmentation systems face, including handling occlusions, real-time processing, and temporal consistency. Additionally, new developments in the industry are highlighted in the study, including the usage of transformers and self-supervised learning.

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F. Patel, S. Mewada, S. Degadwala, and D. Vyas, “Exploring Transfer Learning Models for Multi-Class Classification of Infected Date Palm Leaves,” International Conference on Self Sustainable Artificial Intelligence Systems, ICSSAS 2023 - Proceedings, pp. 307–312, 2023, doi: 10.1109/ICSSAS57918.2023.10331746. DOI: https://doi.org/10.1109/ICSSAS57918.2023.10331746

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P. Bam, S. Degadwala, R. Upadhyay, and D. Vyas, “Spoken Language Recognization Based on Features and Classification Methods: A Review,” in Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022, 2022, pp. 868–873. doi: 10.1109/ICAIS53314.2022.9743090. DOI: https://doi.org/10.1109/ICAIS53314.2022.9743090

R. Baria, S. Degadwala, R. Upadhyay, and D. Vyas, “Theoretical Evaluation of Machine And Deep Learning For Detecting Fake News,” in Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022, 2022, pp. 325–329. doi: 10.1109/ICAIS53314.2022.9742864. DOI: https://doi.org/10.1109/ICAIS53314.2022.9742864

S. Dave, S. Degadwala, and D. Vyas, “DDoS Detection at Fog Layer in Internet of Things,” in International Conference on Edge Computing and Applications, ICECAA 2022 - Proceedings, 2022, pp. 610–617. doi: 10.1109/ICECAA55415.2022.9936524. DOI: https://doi.org/10.1109/ICECAA55415.2022.9936524

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H. Gupta, D. Patel, A. Makade, K. Gupta, O. P. Vyas, and A. Puliafito, “Risk Prediction in the Life Insurance Industry Using Federated Learning Approach,” in MELECON 2022 - IEEE Mediterranean Electrotechnical Conference, Proceedings, 2022, pp. 948–953. doi: 10.1109/MELECON53508.2022.9842869. DOI: https://doi.org/10.1109/MELECON53508.2022.9842869

J. Mahale, S. Degadwala, and D. Vyas, “Crop Prediction System based on Soil and Weather Characteristics,” in 6th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2022 - Proceedings, 2022, pp. 340–345. doi: 10.1109/I-SMAC55078.2022.9987366. DOI: https://doi.org/10.1109/I-SMAC55078.2022.9987366

D. D. Pandya, A. Jadeja, S. Degadwala, and D. Vyas, “Ensemble Learning based Enzyme Family Classification using n-gram Feature,” in Proceedings - 2022 6th International Conference on Intelligent Computing and Control Systems, ICICCS 2022, 2022, pp. 1386–1392. doi: 10.1109/ICICCS53718.2022.9788292. DOI: https://doi.org/10.1109/ICICCS53718.2022.9788292

D. D. Pandya, G. Amarawat, A. Jadeja, S. Degadwala, and D. Vyas, “Analysis and Prediction of Location based Criminal Behaviors Through Machine Learning,” in International Conference on Edge Computing and Applications, ICECAA 2022 - Proceedings, 2022, pp. 1324–1332. doi: 10.1109/ICECAA55415.2022.9936498. DOI: https://doi.org/10.1109/ICECAA55415.2022.9936498

D. D. Pandya, N. S. Gupta, A. Jadeja, R. D. Patel, S. Degadwala, and D. Vyas, “Bias Protected Attributes Data Balancing using Map Reduce,” in 6th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2022 - Proceedings, 2022, pp. 1540–1544. doi: 10.1109/ICECA55336.2022.10009363. DOI: https://doi.org/10.1109/ICECA55336.2022.10009363

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A. Patel, S. Degadwala, and D. Vyas, “Lung Respiratory Audio Prediction using Transfer Learning Models,” in 6th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2022 - Proceedings, 2022, pp. 1107–1114. doi: 10.1109/I-SMAC55078.2022.9986498. DOI: https://doi.org/10.1109/I-SMAC55078.2022.9986498

M. Shah, S. Degadwala, and D. Vyas, “Diet Recommendation System based on Different Machine Learners: A Review,” in Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022, 2022, pp. 290–295. doi: 10.1109/ICAIS53314.2022.9742919. DOI: https://doi.org/10.1109/ICAIS53314.2022.9742919

V. K. Singh, S. Pandey, S. Degadwala, and D. Vyas, “DNA and KAMLA Approaches in Metamorphic Cryptography: An Evaluation,” in Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022, 2022, pp. 1173–1178. doi: 10.1109/ICAIS53314.2022.9742764. DOI: https://doi.org/10.1109/ICAIS53314.2022.9742764

B. Trivedi, S. Degadwala, and D. Vyas, “Parallel Data Stream Anonymization Methods: A Review,” in Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022, 2022, pp. 887–891. doi: 10.1109/ICAIS53314.2022.9743084. DOI: https://doi.org/10.1109/ICAIS53314.2022.9743084

H. Dave, V. Patel, J. N. Mehta, S. Degadwala, and D. Vyas, “Regional Kidney Stone Detection and Classification in Ultrasound Images,” in Proceedings of the 3rd International Conference on Inventive Research in Computing Applications, ICIRCA 2021, 2021, pp. 1108–1112. doi: 10.1109/ICIRCA51532.2021.9545031. DOI: https://doi.org/10.1109/ICIRCA51532.2021.9545031

S. Degadwala, U. Chakraborty, P. Kuri, H. Biswas, A. N. Ali, and D. Vyas, “Real-Time Panorama and Image Stitching with Surf-Sift Features,” in Proceedings of the 6th International Conference on Inventive Computation Technologies, ICICT 2021, 2021, pp. 1111–1115. doi: 10.1109/ICICT50816.2021.9358586. DOI: https://doi.org/10.1109/ICICT50816.2021.9358586

Bhavesh Kataria, "XML Enabling Homogeneous and Platform Independent Data Exchange in Agricultural Information Systems, International Journal of Scientific Research in Science, Engineering and Technology, Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 2, pp.129-133, March-April-2015. Available at : https://doi.org/10.32628/ijsrset152239

Bhavesh Kataria, "The Challenges of Utilizing Information Communication Technologies (ICTs) in Agriculture Extension, International Journal of Scientific Research in Science, Engineering and Technology, Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 1, pp.380-384, January-February-2015. Available at : https://doi.org/10.32628/ijsrset1511103

Bhavesh Kataria, "Role of Information Technology in Agriculture : A Review, International Journal of Scientific Research in Science, Engineering and Technology, Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 1, pp.01-03, 2014. Available at : https://doi.org/10.32628/ijsrset141115

Bhavesh Kataria, "Variant of RSA-Multi prime RSA, International Journal of Scientific Research in Science, Engineering and Technology, Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 1, pp.09-11, 2014. Available at https://doi.org/10.32628/ijsrset14113

S. Degadwala, S. A. Musa, D. Vyas, and P. Mitra, “IoT Defence: An Internet Based Remote Area Monitoring and Control System,” in Proceedings of the 5th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2021, 2021, pp. 487–491. doi: 10.1109/ICECA52323.2021.9676144. DOI: https://doi.org/10.1109/ICECA52323.2021.9676144

S. Degadwala, B. Patel, and D. Vyas, “A Review on Indian State/City Covid-19 Cases Outbreak Forecast utilizing Machine Learning Models,” in Proceedings of the 6th International Conference on Inventive Computation Technologies, ICICT 2021, 2021, pp. 1001–1005. doi: 10.1109/ICICT50816.2021.9358506. DOI: https://doi.org/10.1109/ICICT50816.2021.9358506

S. Degadwala, D. Vyas, H. Biswas, U. Chakraborty, and S. Saha, “Image Captioning Using Inception V3 Transfer Learning Model,” in Proceedings of the 6th International Conference on Communication and Electronics Systems, ICCES 2021, 2021, pp. 1103–1108. doi: 10.1109/ICCES51350.2021.9489111. DOI: https://doi.org/10.1109/ICCES51350.2021.9489111

S. Degadwala, D. Vyas, U. Chakraborty, H. Biswas, and A. R. Dider, “Moving Object Inpainting using Deep Learning,” in Proceedings of the 5th International Conference on Trends in Electronics and Informatics, ICOEI 2021, 2021, pp. 1701–1704. doi: 10.1109/ICOEI51242.2021.9452894. DOI: https://doi.org/10.1109/ICOEI51242.2021.9452894

S. Degadwala, D. Vyas, U. Chakraborty, A. R. Dider, and H. Biswas, “Yolo-v4 Deep Learning Model for Medical Face Mask Detection,” in Proceedings - International Conference on Artificial Intelligence and Smart Systems, ICAIS 2021, 2021, pp. 209–213. doi: 10.1109/ICAIS50930.2021.9395857. DOI: https://doi.org/10.1109/ICAIS50930.2021.9395857

S. Degadwala, D. Vyas, and H. Dave, “Classification of COVID-19 cases using Fine-Tune Convolution Neural Network (FT-CNN),” in Proceedings - International Conference on Artificial Intelligence and Smart Systems, ICAIS 2021, 2021, pp. 609–613. doi: 10.1109/ICAIS50930.2021.9395864. DOI: https://doi.org/10.1109/ICAIS50930.2021.9395864

S. Degadwala, D. Vyas, M. R. Hossain, A. R. DIder, M. N. Ali, and P. Kuri, “Location-Based Modelling and Analysis of Threats by Using Text Mining,” in Proceedings of the 2nd International Conference on Electronics and Sustainable Communication Systems, ICESC 2021, 2021, pp. 1940–1944. doi: 10.1109/ICESC51422.2021.9532825. DOI: https://doi.org/10.1109/ICESC51422.2021.9532825

S. Patel, H. Patel, D. Vyas, and S. Degadwala, “Multi-Classifier Analysis of Leukemia Gene Expression from Curated Microarray Database (CuMiDa),” in Proceedings - 2nd International Conference on Smart Electronics and Communication, ICOSEC 2021, 2021, pp. 1174–1178. doi: 10.1109/ICOSEC51865.2021.9591854. DOI: https://doi.org/10.1109/ICOSEC51865.2021.9591854

S. Degadwala, U. Chakraborty, S. Saha, H. Biswas, and D. Vyas, “EPNet: Efficient patch-based deep network for real-time semantic segmentation,” in Proceedings of the 3rd International Conference on Intelligent Sustainable Systems, ICISS 2020, 2020, pp. 611–615. doi: 10.1109/ICISS49785.2020.9316079. DOI: https://doi.org/10.1109/ICISS49785.2020.9316079

S. Degadwala, D. Vyas, H. Dave, and A. Mahajan, “Visual Social Distance Alert System Using Computer Vision Deep Learning,” in Proceedings of the 4th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2020, 2020, pp. 1512–1516. doi: 10.1109/ICECA49313.2020.9297510. DOI: https://doi.org/10.1109/ICECA49313.2020.9297510

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20-12-2024

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Vol. 10 No. 6 (2024): November-December

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