Graph Based Learning for Hybrid Algorithm to Image Annotation

Xiao Hong Hu; Xiao Lei Wang; Xiu Ran Wei

doi:10.4028/www.scientific.net/AMR.179-180.685

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 179-180Graph Based Learning for Hybrid Algorithm to Image...

Graph Based Learning for Hybrid Algorithm to Image Annotation

Abstract:

Graph based learning has been an active research topic in machine learning community as well as many application areas including image annotation recently. In order to exploit the correlation between keywords and images, we proposed a novel image annotation method via graph based learning and semantic fusion to estimate the probability of keywords being the caption of an image, and present a new framework to solve the problem. The experiments over Corel images have shown that this approach outperforms other methods and is effective for image annotation.

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Periodical:

Advanced Materials Research (Volumes 179-180)

Pages:

685-690

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.179-180.685

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Online since:

January 2011

Authors:

Xiao Hong Hu, Xiao Lei Wang, Xiu Ran Wei

Keywords:

Automatic Image Annotation, Graph Based Learning, Semantic Gap

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