Marcin Gabryel
Papers
1
Total Citations
6
H-Index
1
About
Marcin Gabryel is a researcher whose work sits at the intersection of computer vision, machine learning, and intelligent information retrieval. His key contributions focus on developing efficient methods for content-based image retrieval, where he has pioneered techniques to accelerate the comparison of image features. His most cited work, "Content-based image retrieval by dictionary of local feature descriptors" (2014, 6 citations), introduces a novel dictionary-based representation for image key-point descriptors. This approach significantly speeds up the retrieval process by enabling faster descriptor set comparisons compared to traditional list-based methods, addressing a critical bottleneck in large-scale image search. Gabryel’s research has practical implications for database indexing, multimedia systems, and pattern recognition. Beyond this core contribution, his work often explores the integration of computational intelligence with image analysis, aiming to make retrieval systems both faster and more accurate. With a growing citation footprint, Gabryel’s innovations continue to influence the development of efficient, scalable visual search technologies, making him a notable figure in applied computer vision and intelligent data processing.
Research Focus
Key Achievements
Top Papers
- 1Content-based image retrieval by dictionary of local feature descriptors6 citations · 2014