NDLI: Multi-form hierarchical representation of image categories for browsing and retrieval

Content Provider	IEEE Xplore Digital Library
Author	Guldogan, E. Lagerstam, E. Olsson, T. Gabbouj, M.
Copyright Year	2010
Description	Author affiliation: Unit of Human-Centered Technology, Tampere University of Technology, Tampere, Finland (Lagerstam, E.; Olsson, T.) \|\| Department of Signal Processing, Tampere University of Technology, Tampere, Finland (Guldogan, E.; Gabbouj, M.)
Abstract	In this paper, we present a multi-form image representation and adaptive weighting approach for image browsing and retrieval systems. To support the development of the multi-form representation with understanding on users' image searching behavior, we conducted an interview study with users of various image browsing and retrieval systems. Based on the insights gained from the user study we propose an adaptive weighting method for multi-form structures. The proposed adaptive weighting approach aims at improving the efficiency and accuracy of the system. Users' behaviors are modeled based on statistics of the past actions and weights of the forms are updated adaptively on iterations of browsing and retrieval. The proposed method has been evaluated and results are illustrated in the paper. It is shown that, satisfactory improvements can be achieved with adaptive weighting approach in the multi-form scheme.
Starting Page	64
Ending Page	69
File Size	292163
Page Count	6
File Format	PDF
ISBN	9781424486038
e-ISBN	9781424486021
e-ISBN	9781424486014
DOI	10.1109/SMAP.2010.5706855
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-09
Publisher Place	Cyprus
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy Image color analysis Adaptation model Semantics Probabilistic logic Interviews Indexing
Content Type	Text
Resource Type	Article

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