Mixed Query Image Retrieval System
Bingjing Cai, Chris Zheng, Sen Yang, Jeffery Zheng · 2007
This paper discusses a proposed mixed query image and text retrieval database, combining text-based search technology and image content-based search technology for more accurate results. The target application will be aimed at large, categorized image sets, such as large image collections of libraries or patent offices. It can be shown that this mixed query image search engine, can achieve better efficiency and higher quality than traditional text-based queries and content-based systems. This paper will discuss the designing principle of the mixed query image search engine, outline the architecture and show results from an initial prototype database.