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In this paper, we propose a novel image annotation algorithm based on Markov model. This algorithm treats each candidate keyword as a state in Markov chain, and implements image annotation by estimating the probability of Markov transition. On one aspect, compared with classical algorithms, the proposed algorithm stops making the assumption that each keyword is independent to each other; instead,...
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