Andrea Kang

Title: Andrea Kang: Innovator in Semantic Segmentation Technologies

Introduction

Andrea Kang is a prominent inventor based in San Diego, CA. She has made significant contributions to the field of semantic segmentation, with a total of 4 patents to her name. Her work focuses on developing methods and systems that enhance the understanding of text and scenes in images.

Latest Patents

One of her latest patents is titled "Methods and systems for semantically segmenting a source text image based on a text area threshold determination." This method involves receiving a binary annotation of source text and performing a close operation to generate a closed annotation. It defines contours in the closed annotation and determines a subset of contours based on the area occupied by text. The final annotation is generated based on this subset.

Another notable patent is "System and method for providing dominant scene classification by semantic segmentation." This method computes a dominant class of a scene by receiving an input image, generating a segmentation map, and computing area ratios for different classes. It outputs a detected dominant class based on ranked labels derived from these area ratios.

Career Highlights

Andrea currently works at Samsung Electronics Co., Ltd., where she continues to innovate in the field of image processing and semantic segmentation. Her expertise has positioned her as a key player in developing advanced technologies that improve image analysis.

Collaborations

Throughout her career, Andrea has collaborated with talented individuals such as Mostafa El-Khamy and Qingfeng Liu. These collaborations have further enriched her work and contributed to the success of her projects.

Conclusion

Andrea Kang is a trailblazer in the realm of semantic segmentation, with a strong portfolio of patents that reflect her innovative spirit. Her contributions to the field are paving the way for advancements in image processing technologies.