Patent Image

Patent image analysis focuses on developing efficient methods for retrieving and understanding images within patent applications, crucial for assessing novelty and non-obviousness. Current research emphasizes leveraging large language models and deep learning architectures, including transformers and contrastive learning, to improve image retrieval accuracy and semantic understanding by integrating textual information from patent descriptions. These advancements significantly enhance patent search and analysis, streamlining the patent process for researchers, applicants, and intellectual property professionals.