Yun D Y Y. Holographic image archive

This paper presents an associative technique for content-based retrieval into image archive, based on a new computing paradigmcalled Multidimensional Holographic AssociativeComputing MHAC). Unlike any prior Artificial Associative Memory (AAM), MHAC has the unique ability to focus on any subset of pixels in the sample image and retrieve learned images based on the similarity of the visual objects. In addition, MHAC is adaptive, graciously accommodative of imprecision, efficient, paralle-lizable, scalable, andoptically realizable. Together, these excellentproperties of MHACoffer apromising novel approach to content-based search into massive image archives. The paper presents the needed transformational steps to incorporate this new mechanism into a complete image archival and retrieval system. This is the first associative search approach for content-based retrieval in image repository. The results show that this search system is capable of retrievals by using pattern objects as small as 15-10% of the query image frame at better than 90 % accuracy. This demonstrates the potential of MHAC for handing content-based image applications far beyond the capability of current associative memories