Conceptual framework for indexing visual information at multiple levels

Alejandro Jaimes; Shih-Fu Chang

doi:10.1117/12.373443

20 December 1999 Conceptual framework for indexing visual information at multiple levels

Alejandro Jaimes, Shih-Fu Chang

Proceedings Volume 3964, Internet Imaging; (1999) https://doi.org/10.1117/12.373443
Event: Electronic Imaging, 2000, San Jose, CA, United States

Abstract

In this paper, we present a conceptual framework for indexing different aspects of visual information. Our framework unifies concepts from this literature in diverse fields such as cognitive psychology, library sciences, art, and the more recent content-based retrieval. We present multiple level structures for visual and non-visual and non- visual information. The ten-level visual structure presented provides a systematic way of indexing images based on syntax and semantics, and includes distinctions between general concept and visual concept. We define different types of relations at different levels of the visual structure, and also use a semantic information table to summarize important aspects related to an image. While the focus is on the development of a conceptual indexing structure, our aim is also to bring together the knowledge from various fields, unifying the issues that should be considered when building a digital image library. Our analysis stresses the limitations of state of the art content-based retrieval systems and suggests areas in which improvements are necessary.

Citation Download Citation

Alejandro Jaimes and Shih-Fu Chang "Conceptual framework for indexing visual information at multiple levels", Proc. SPIE 3964, Internet Imaging, (20 December 1999); https://doi.org/10.1117/12.373443

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