Compact Shape Portrayal Descriptor | ||||||||||||
Democritus University of Thrace - Department of Electrical and Computer Engineering |
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OverviewShape is one of the most important low-level image features employed in content based retrieval systems. It can be used in a variety of a ways. One such way is the document image retrieval through word spotting.
More specifically, the Compact Shape Portrayal Descriptor is a forty one dimension vector that it is created from five distinct features that capture satisfactory the shape of an object. Also, the values of the vector are quantized for binary representation in three bits for each so its storage requirements are only 123 bits per shape. As the block diagram portrays, the computation of the CSPD can be easily parallize as each feature can be calculated separately. The advantage of this descriptor is its balance between its size, its calculation time and its retrieval results. It is suitable for existing retrieval systems that they need to add shape information to their descriptors without compromising theirs storing and computational requirements. Reference/Citation Journal PaperK. Zagoris, Ε. Kavallieratou and N. Papamarkos, «Image Retrieval Systems Based On Compact Shape Descriptor and Relevance Feedback Information», Journal of Visual Communication and Image Representation , 22 (2011), pp. 378-390 DOI information:10.1016/j.jvcir.2011.03.002,2011 We provide the CSPD descriptor free to download as a .NET DLL here. In addition to the CSPD DLL file, an example solution for the Visual Studio 2010 is provided, which it is an extension to the TSRD example solution. You can download the example solution from here. | ||||||||||||
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