Research Issues & State of the Art Challenges in Event Detection

Md Nazmus Saadat; Hasibul Kabir; Muhammad Shuaib; Rasheed Mohammad Nassr; Mohd Nizam Husen; Husna Osman

doi:10.1109/IMCOM51814.2021.9377431

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Conference proceeding

Research Issues & State of the Art Challenges in Event Detection

Md Nazmus Saadat, Hasibul Kabir, Muhammad Shuaib, Rasheed Mohammad Nassr, Mohd Nizam Husen and Husna Osman

2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM), pp.1-18

04/01/2021

DOI: https://doi.org/10.1109/IMCOM51814.2021.9377431

Abstract

Artificial intelligence

Deep learning

Event detection

Natural languages

Surgery

Tools

Virtual assistants

Event detection is a cutting-edge problem in video image processing which is not that straight forward to solve. Hence, we perform a thorough search for state of the art in solving the issues in this area. There are many applications of event detection in this age of cybercrime. We target to propose a best solution to outperform existing research and make a positive development in it. We have discussed quite a long list of existing literature reviews in this hope that it would help us and anyone else working on the same as a guideline and one stop reading.

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Details

Title: Research Issues & State of the Art Challenges in Event Detection
Creators - without role: Md Nazmus Saadat - MIIT, Universiti Kuala Lumpur,Kuala Lumpur,Malaysia
Hasibul Kabir - University of Kuala Lumpur
Muhammad Shuaib - University of Kuala Lumpur
Rasheed Mohammad Nassr - University of Kuala Lumpur
Mohd Nizam Husen - University of Kuala Lumpur
Husna Osman - University of Kuala Lumpur
Publication Details: 2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM), pp.1-18
Publisher: IEEE
Identifiers: 9945126508331
Academic Unit: King Abdullah University of Science & Technology
Language: English
Resource Type: Conference proceeding