A Novel Study on Developing a Model-Driven Visual Dictionary
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Date
2016
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Open Access Color
Green Open Access
No
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Publicly Funded
No
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
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, model-driven visual dictionary, image understanding, descriptor; image understanding; model-driven visual dictionary, descriptor
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
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OpenCitations Citation Count
N/A
Source
2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings
Volume
Issue
Start Page
2081
End Page
2084
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Scopus : 0
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