1、Image annotation and retrieval algorithm based on relevance feedback
2、Enhancing relevance feedback in image retrieval using asymmetric Bayesian learning
3、Bayesian decision theory relevance feedback method based on minimum risk
4、The last part proved effectiveness of CBIR system based on relevance feedback technology through an experiment.
5、Image retrieval based on SVM relevance feedback using color and texture feature
6、Positive relevance feedback algorithm based on dynamic weight query point movement
7、Visional feature extraction, high dimensional indexing mechanism and relevance feedback are three important issues in content-based image retrieval.
8、According to that, the paper expatiates on key technologies used in CBIR researches, such as feature extracting, similarity measuring, and relevance feedback, etc.
9、The research contents include high dimension feature vectors index, semantic video classification, relevance feedback, similarity measure of video clips and video content representation.
10、Firstly the paper analyzes the defect of technique of the VSM model. And then put forward one technique based - on semantic for relevance feedback, using the knowledge of conceptual graphs.
