Xianying Huang

Papers

Total Citations

H-Index

About

Xianying Huang is a researcher in computer vision and multimedia information retrieval, with a focus on developing intuitive, user-centered image search systems. Their most cited work, "A Modular Image Search Engine Based on Key Words and Color Features" (2012), introduces a hybrid approach that combines textual keyword queries with visual color feature analysis to improve search accuracy and user experience. This modular design allows for flexible integration of different retrieval techniques, addressing a key challenge in bridging the semantic gap between user intent and low-level image features. While the paper has garnered 3 citations, it represents an early contribution to the evolution of content-based image retrieval, demonstrating a practical framework that influenced subsequent work in multimodal search. Huang’s research underscores the importance of combining textual and visual cues for more effective and accessible image retrieval, a principle that remains relevant in today’s AI-driven visual search systems.