Relevance feedback as distribution generation

Ivo Keller; Thomas Meiers; Thomas Sikora

doi:10.1117/12.473053

1 July 2002 Relevance feedback as distribution generation

Ivo Keller, Thomas Meiers, Thomas Sikora

Proceedings Volume 4862, Internet Multimedia Management Systems III; (2002) https://doi.org/10.1117/12.473053
Event: ITCom 2002: The Convergence of Information Technologies and Communications, 2002, Boston, MA, United States

Abstract

Multimedia database interfaces should be designed to be very user-adaptive, since there is no generally applicable model of user's search behavior or of his search intention. First, the challenging task for the interface is to present the most representative objects in an appealing and concise manner. Second, the interface has to identify the user's search intention from very few positive feedbacks. In particular for the latter there exist a lot of Relevance Feedback imple-mentations. While most of them are considered as more or less heuristically proved parameter adjustment procedures, we treat Relevance Feedback as direct probability density estimation. Our density is defined as the

Citation Download Citation

Ivo Keller, Thomas Meiers, and Thomas Sikora "Relevance feedback as distribution generation", Proc. SPIE 4862, Internet Multimedia Management Systems III, (1 July 2002); https://doi.org/10.1117/12.473053

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