Title: The analysis of new media art expression in the metaverse environment based on artificial intelligence and internet of things
Authors: Jiawei Wan; Ru Chen
Addresses: School of Music and Dance, Nanchang Institute of Technology, Nanchang, Jiangxi, 330044, China ' School of Electronic Information Engineering, Nanchang Institute of Technology, Nanchang, 330000, China; Faculty of Education and Languages, Higher Education Learning Philosophy University, Kuala Lumpur, 50490, Malaysia
Abstract: In order to explore the integration of artificial intelligence and internet of things (IoT) technologies in the metaverse environment for new media art expression, this study optimises the speeded up robust features (SURF) algorithm and the best image stitching method, and conducts comparative experiments. This study provides quantifiable experimental evidence for the unified comparison of multi-paradigm feature methods, and proposes a new modelling approach in the design of energy constraints. On the premise of ensuring computational efficiency, the study effectively enhances the stability and adaptability of image stitching. Thus, it expands the theoretical framework of image processing in academic research. Meanwhile, this study provides reliable support for visual presentation and immersive experience in complex scenarios in practical applications, further highlighting the consistency between the research objectives and contributions.
Keywords: metaverse; artificial intelligence; new media art; image mosaic; texture feature.
DOI: 10.1504/IJART.2026.155626
International Journal of Arts and Technology, 2026 Vol.16 No.9, pp.1 - 27
Received: 11 Mar 2026
Accepted: 15 Apr 2026
Published online: 07 Aug 2026 *


