An Relevance Feedback Algorithm for Content-Based Video Retrieval
Shumin Fei · Signal Processing · 2009
An algorithm of video retrieval based on Bayesian learning relevance feedback was presented.It uses a probabilistic framework to describe retrieval problem.The system updates the probability distribution automatically via Bayesian formulation according to user action.The results of experiment on thousands of shots show that the proposed approach can improve the efficiency and accuracy of the search performance and grasp user's query concept only several iterations.