Overall framework on digital image searching

Mun-Kew Leong; Joo-Hwee Lim

doi:10.1117/12.623832

15 September 2005 Overall framework on digital image searching

Mun-Kew Leong, Joo-Hwee Lim

Proceedings Volume 5909, Applications of Digital Image Processing XXVIII; 59090P (2005) https://doi.org/10.1117/12.623832
Event: Optics and Photonics 2005, 2005, San Diego, California, United States

Abstract

We propose a framework for digital image searching which seeks to include the best practices learnt from document information retrieval systems. In particular, we motivate the importance of the user in the search process, and show how the user's task can significantly alter the evaluation of results from the search system. The framework makes the roles of the user explicit to avoid the academic omniscient truth approach which characterizes current content-based image retrieval systems. While primary (low-level) features are a necessary part of the image search process, it is the higher level semantics which have created significant results from image analysis and search. We show that the user is a necessary component in this process.

Citation Download Citation

Mun-Kew Leong and Joo-Hwee Lim "Overall framework on digital image searching", Proc. SPIE 5909, Applications of Digital Image Processing XXVIII, 59090P (15 September 2005); https://doi.org/10.1117/12.623832

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