Algorithm Based on Relevance Feedback for Video Retrieval
Cao Jian-rong, Cai An-ni · Journal of Jilin University · 2006
Improving the accuracy of retrieval is very important in information indexing and retrieval.An algorithm of video retrieval based on relevance feedback was presented.It implemented the automatic relevance feedback using the neural network and minimized user interactions.The result of retrieval was the video clip that is the most similar to query.The architecture of the neural network and the strategies of the retrieval had been instructed.The results of experiment had been given and compared with KFVR(Key Frame-based Video Retrieval).The retrieval precision of our algorithm is higher than KFVR about 6%.