The research paper is a result of their work on creating an efficient information retrieval solution for everyday life events from video data during the AI Challenge HCMC 2023. It's an encouraging achievement for the TeamQ members who have been conducting scientific research and participating in academic competitions related to the applications of Artificial Intelligence (AI) in various life domains at the Information Security Lab (InSecLab) through the WannaQuest Q2023.1 training program.
Research Paper Information:
Paper Title: “BlazeSearch: A multimodal semantic search engine for retrieving in-video information for AI Challenge HCMC 2023”
Student Researchers:
1. Ngô Đức Hoàng Sơn – Talented Program in Information Security (ATTN2019)
2. Nguyễn Hùng Thịnh - High-Quality Program in Information Security (ATCL2020)
3. Bùi Vương Tâm Anh - Talented Program in Information Security (ATTN2022)
4. Phan Hoàng Phước - Talented Program in Computer Science (KHTN2022)
5. Trần Thị Cẩm Giang - Talented Program in Computer Science (KHTN2022)
Supervisors: TS. Phạm Văn Hậu & CN. Nguyễn Hữu Quyền
Information about the Conference: SoICT 2023 is an international scientific conference specializing in information technology and communication, covering important research areas: AI and Big Data, Network and Communication Technologies, Image Processing and Natural Language Processing, Software Engineering, Artificial Intelligence, Digital Technologies, Information Security, and Event Information Retrieval from Video.
The SoICT 2023 conference will take place in Ho Chi Minh City, organized by the Faculty of Information Technology and Communication - Hanoi University of Science and Technology, Faculty of Natural Sciences - Ho Chi Minh City University of Natural Sciences, Laboratory Informatics, Modelling and Optimization System (LIMOS), The French National Centre for Scientific Research (CNRS), and the Institute for Advanced Study in Mathematics (VIASM) on December 7-8, 2023.
Abstract: "In the world today, exploring information has become a critical part of modern life. As a result, search engines have shown their ability to enhance the knowledge-seeking process. However, these search engines still focus on searching for websites or images. The capacity to find information in videos is extremely needed to experiment and study more in order to improve the power of search engines. In this study, we investigate the potentiality of in-video information search engines by introducing BlazeSearch, a multimodal search engine designed to search frames of video with simple input text. By leveraging the OpenCLIP model, which is superior for the image-text retrieval task, our search engine can be guaranteed reliability and accuracy. Furthermore, we optimize the searching speed and provide an easy-to-use, fully functional user interface for BlazeSearch, which can help users have a pleasant experience."
Conference Link: https://soict.org/submission/paper-submission/
Further information: https://www.facebook.com/inseclab/posts/pfbid02MYPvcDmwuNUYk6jwixFEh8FdDRGRsqEnm85T3riAn6tQVgKNNJmCmgyFepiaqoJxl
Written by: Ha Bang
Translated by: Ngoc Diem
