Video retrieval relevance feedback algorithm based on Bayesian learning
Shumin Fei · Jisuanji yingyong yanjiu · 2008
Improving the accuracy of retrieval was very important in information indexing and retrieval.An algorithm of video retrieval based on relevance feedback was presented.It used a probabilistic framework to describe retrieval problem,and updated the probability distribution via Bayesian learning.The results of experiment had been given and compared with the nearest feature line(NFL) based video retrieval.The retrieval precision of this algorithm has better performance.