Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/3600
Title: A novel study on developing a model-driven visual dictionary
Other Titles: Model-güdümlü görsel sözlük gelistirme üzerine yenilikçi bir çalisma
Authors: Aslan S.
Akgul C.B.
Sankur B.
Tunali E.T.
Keywords: descriptor
image understanding
model-driven visual dictionary
Image understanding
Object recognition
Current modeling
Description method
Descriptors
Dictionary constructions
Model-driven
Shape model
Visual dictionaries
Signal processing
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: We designed SymPaD framework, a model-driven visual dictionary construction and description method, with new shape models and quantized shape library. We demonstrate that, with this new design, the most current model-driven dictionary construction method is outperformed with even smaller dictionary in object recognition and image retrieval tasks. © 2016 IEEE.
Description: 24th Signal Processing and Communication Application Conference, SIU 2016 -- 16 May 2016 through 19 May 2016 -- 122605
URI: https://doi.org/10.1109/SIU.2016.7496181
https://hdl.handle.net/20.500.14365/3600
ISBN: 9.78151E+12
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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