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26 February 2010 Content-based image retrieval
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Proceedings Volume 7546, Second International Conference on Digital Image Processing; 75462E (2010) https://doi.org/10.1117/12.853482
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore
Abstract
Large collection of information is being created in many areas of modern life on daily basis. This information exists in many forms from plain text to high resolution multimedia. Today computers are many times faster than human in text based searching using keywords and indexing but the story is totally different in case of multimedia. In context of image retrieval, acquiring storing, sorting and transmitting photos is now trivial, but it is significantly harder to manipulate, index, sort, filter or search through them. The research presents an overview of different techniques used in contentbased image retrieval (CBIR) systems and what are some of the proposed ways of querying such searches that are useful when specific keywords for the object are not known. Advances, applications and problems in content-based image retrieval are also discussed. Moreover a system is also developed for content based image retrieval and tested with two database containing 1,000 and 10,000 images respectively.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yasir Zaheer "Content-based image retrieval", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75462E (26 February 2010); https://doi.org/10.1117/12.853482
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