Qingchang Guo
Biographic Data
| ID | 8968222 |
|---|---|
| NAME | Qingchang Guo |
| GIVEN NAMES | Qingchang |
| FAMILY NAME | Guo |
| SIGNATURE | GUO Q |
| AFFILIATIONS | Shinawatra University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Blockchain Technology for Securing Digital Art Ownership and Enhancing Artist Authenticity Records
The digital art blistering phenomenon has transformed the manner in which art is produced and contextualized in the art markets in the world, though it has occasioned concerns that border issues of ownership, authenticity and provenance which are horrifyingly questioned. Easy reproduction, editing and re transmission, and proving the authorship and protecting of the artists is difficult in digital art. The provided paper explores the possibility …
Computer Vision Systems for Documenting, Preserving, and Analyzing Traditional Visual Art Forms
Traditional visual art forms are highly essential in preserving culture but conventional forms of documentation usually have shortcomings with regards to scalability, accuracy and durability of access by the user. In the present paper, the author provides a detailed computer vision-oriented system that is intended to document, preserve and analyze traditional artworks through the use of modern imaging and deep learning algorithms. The offered sys…
No prominent works on this page.
Blockchain Technology for Securing Digital Art Ownership and Enhancing Artist Authenticity Records
The digital art blistering phenomenon has transformed the manner in which art is produced and contextualized in the art markets in the world, though it has occasioned concerns that border issues of ownership, authenticity and provenance which are horrifyingly questioned. Easy reproduction, editing and re transmission, and proving the authorship and protecting of the artists is difficult in digital art. The provided paper explores the possibility …
Computer Vision Systems for Documenting, Preserving, and Analyzing Traditional Visual Art Forms
Traditional visual art forms are highly essential in preserving culture but conventional forms of documentation usually have shortcomings with regards to scalability, accuracy and durability of access by the user. In the present paper, the author provides a detailed computer vision-oriented system that is intended to document, preserve and analyze traditional artworks through the use of modern imaging and deep learning algorithms. The offered sys…
Aesthetic Perception and Analysis (1 work) · Art History and Market Analysis (1 work) · Blockchain (1 work) · Blockchain Technology Applications and Security (1 work) · Convolutional neural network (1 work) · Cryptocurrency (1 work) · Cultural Analytics (1 work) · Cultural heritage (1 work) · Database transaction (1 work) · Digital signature (1 work)