Recently, a discussion about watermark segmentation technology has garnered significant attention in the tech community. Watermark segmentation involves analyzing and processing watermarks in images or videos to either remove them or restore the original content. This technology is applicable to a wide range of digital content, including text, images, audio, and video. The core challenge of watermark segmentation is to effectively identify and separate the watermark from the background content, enabling further processing. Currently, this is primarily achieved through machine learning and deep learning methods. These approaches involve training models with large amounts of labeled data to accurately detect and isolate watermarks. Advanced techniques, such as convolutional neural networks (CNNs), have further enhanced the accuracy and efficiency of watermark segmentation. While watermark segmentation holds great promise for copyright protection and content restoration, it also raises ethical and legal concerns. Removing watermarks can infringe on creators' rights, and malicious use of the technology could lead to the unauthorized distribution of images or videos. Therefore, research and application in this area must be conducted within a framework of legal and ethical guidelines. A recent breakthrough in this field was presented by a young researcher named Li Ming at the International Conference on Computer Vision. Li Ming introduced an innovative algorithm that significantly improves the identification and removal of watermarks in complex backgrounds. His algorithm has undergone rigorous testing, demonstrating its stability and reliability in practical applications. Many professionals have expressed high regard for this new technology. They believe Li Ming's algorithm not only represents a technical innovation but also has the potential to advance the fields of image and video processing. It could open up new possibilities for digital content management. However, some are concerned that the technology might be misused by unscrupulous individuals, exacerbating copyright issues. In summary, watermark segmentation technology is continuously evolving and improving. It promises to play a crucial role in copyright protection and content management. However, ensuring its legal and ethical use remains a critical issue that requires ongoing attention and discussion. The technological advancements must be balanced with responsible application to safeguard the rights of content creators and prevent misuse.