Article

Article title AUTOMATIC IMAGE ANNOTATION BASED ON GLOBAL IMAGE FEATURES
Authors A.S. Melnichenko
Section SECTION IV. MATHEMATICAL METHODS OF THE ARTIFICIAL INTELLECT
Month, Year 08, 2009 @en
Index UDC 004.932.72'1
DOI
Abstract The problem of automated image annotation is considered in this work. The task is introduced and solved under the assumption of further application of its results to the problem of retrieval large collections of images. Existing methods are reviewed and analyzed their advantages and disadvantages. The task is splitted into stages and the most effective method through the existing and improved solutions is proposed for each stage. The program implementation have been done for all major stages of the concidered methods of image annotation.

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Keywords Аutomated image annotation; image retrieval; image processing; image features; probability models; language models; language smoothing.
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