Distributed Architecture for Large Scale Image-Based Search

Yu Zheng, Xing Xie, Wei-Ying Ma
2007 Multimedia and Expo, 2007 IEEE International Conference on  
In recent years, some computer vision algorithms such as SIFT (Scale Invariant Feature Transform) have been employed in image similarity match to perform image-based search applications. However, with the increasing scale of image databases, centralized image retrieval system no longer provide adequate prompt search. In this paper, we design a scalable distributed architecture, which is analog to web search engine, for efficient large-scale image retrieval. In our distributed architecture,
more » ... s are partitioned to multiple servers and an index is built. Administrated by a controlling server, each distributed server matches query image in its own image sub-collection in parallel and returns the intermediate search results, a list of images similar to query image, to the controlling server for further re-ranking and merging. An evaluation of the results shows that our distributed architecture removes the limitation of a centralized image retrieval system. By performing reasonable indexing, merging and ranking strategies, the precision level of search is near to that performed on standalone retrieval systems indexing all images.
doi:10.1109/icme.2007.4284716 dblp:conf/icmcs/ZhengXM07 fatcat:2jxbgj4zzrcrtcjjkgll5bojhq