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Logo Design Process and Method of Intellectual Property Big Data in the Digital Media Era

Author

Listed:
  • Xin Jia
  • Yan Dong
  • Bingxue Wang
  • Lele Qin

Abstract

Logo design is related to the image of a company, unit, product, etc. A good logo can leave a deep impression on people and intuitively understand the content of the product. With the increasing emphasis on intellectual property protection, the design of logos should also pay more attention to the protection of property rights. It can be said that the logo of some big brands is enough to represent the enterprise itself; for example, seeing the red cross as a hospital. This paper aims to propose a logo design process and method under the background of intellectual property big data, so as to make the logo design more procedural and efficient, and to better focus on the protection of property rights. By introducing the relevant knowledge of logo design and trademark registration, it is indicated that trademark search can be used as an auxiliary tool for logo design. Combined with digital media and big data technology, a logo image recognition and classification method is designed so that the trademark registration and screening stage can avoid the infringement design to the greatest extent, so as to put forward the design process and method to improve the innovation ability of logo design. According to the research, the classification accuracy rate of the algorithm proposed in this paper is 91.5%, and the recognition rate of various defects is also above 95%. In addition, in design practice, the stability of design proposals should be monitored through multiple search methods using trademark search tools. If a high similarity is found in the search results, the design direction should be adjusted in time until the final design scheme is determined.

Suggested Citation

  • Xin Jia & Yan Dong & Bingxue Wang & Lele Qin, 2022. "Logo Design Process and Method of Intellectual Property Big Data in the Digital Media Era," Discrete Dynamics in Nature and Society, Hindawi, vol. 2022, pages 1-12, June.
  • Handle: RePEc:hin:jnddns:2556365
    DOI: 10.1155/2022/2556365
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