Title: Querying Efficient Visual Information from Big Data for Intelligent Environment Development
Author: Nguyễn Vinh Tiệp
Summary:
This thesis focuses on proposing effective querying methods with different query forms from large datasets of static images or videos based on various user search needs. Users can use sample images of objects or descriptive sentences in text form for querying. When querying with sample images of objects, users may be interested in the entire scene in the image, a specific object in the image, or even a group of objects, such as finding people at a specified location. When querying with descriptive sentences, users use natural language to express the main objects as well as the relationships between these objects in the overall image that needs to be searched.
If you are interested, please read the hard copy at the library or access (log in with the library-provided account) to view the full text at the link: https://ir.vnulib.edu.vn/handle/VNUHCM/5587
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Detailed Information: https://www.facebook.com/LibUIT.Fanpage/posts/pfbid0nDWeTK6s4ZXCgnQqTo9UZMp4rT5BhZ1exoy7128GxpneRXQo6eRFtrpx7nYJy2jsl
Hạ Băng - Communication Contributor, University of Information Technology
English version: Phan Huy Hoang
