Self-aligning and compressed autosophy video databases

Klaus E. Holtz

doi:10.1117/12.143654

14 April 1993 Self-aligning and compressed autosophy video databases

Klaus E. Holtz

Proceedings Volume 1908, Storage and Retrieval for Image and Video Databases; (1993) https://doi.org/10.1117/12.143654
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1993, San Jose, CA, United States

Abstract

Autosophy, an emerging new science, explains `self-assembling structures,' such as crystals or living trees, in mathematical terms. This research provides a new mathematical theory of `learning' and a new `information theory' which permits the growing of self-assembling data network in a computer memory similar to the growing of `data crystals' or `data trees' without data processing or programming. Autosophy databases are educated very much like a human child to organize their own internal data storage. Input patterns, such as written questions or images, are converted to points in a mathematical omni dimensional hyperspace. The input patterns are then associated with output patterns, such as written answers or images. Omni dimensional information storage will result in enormous data compression because each pattern fragment is only stored once. Pattern recognition in the text or image files is greatly simplified by the peculiar omni dimensional storage method. Video databases will absorb input images from a TV camera and associate them with textual information. The `black box' operations are totally self-aligning where the input data will determine their own hyperspace storage locations. Self-aligning autosophy databases may lead to a new generation of brain-like devices.

Citation Download Citation

Klaus E. Holtz "Self-aligning and compressed autosophy video databases", Proc. SPIE 1908, Storage and Retrieval for Image and Video Databases, (14 April 1993); https://doi.org/10.1117/12.143654

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