Abstract
This paper presents a flexible framework for interactive search in image retrieval systems. Our approach allows for the visual structure change in order to produce coherent layouts, which highlight the most relevant results according to user needs. This innovative framework is flexible in the sense it supports the dynamic creation of several hybrid visual designs, based on the combination of different visualization strategies. Results from a subjective evaluation demonstrate that the dynamic hybrid layouts created by the proposed framework provide the end-users with an effective user interface for intuitive browsing and searching experience.
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Pinto-Cáceres, S.M., Almeida, J., Baranauskas, M.C.C., da S. Torres, R. (2015). FISIR: A Flexible Framework for Interactive Search in Image Retrieval Systems. In: He, X., Luo, S., Tao, D., Xu, C., Yang, J., Hasan, M.A. (eds) MultiMedia Modeling. MMM 2015. Lecture Notes in Computer Science, vol 8935. Springer, Cham. https://doi.org/10.1007/978-3-319-14445-0_29
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DOI: https://doi.org/10.1007/978-3-319-14445-0_29
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