Application of Semantic Similarity Algorithm in Concept-based Video Retrieval
Shang Lin-yu · Journal of Taishan University · 2011
In order to run semantic linking through the bottom content to users' query in concept-based video retrieval,we apply semantic similarity algorithm based on WordNet to video retrieval.By comparing the effects of three different principles algorithm,we get four important conclusions.Algorithm based on information entropy is better for use here than others,semantic matching can improve retrieval precision,the optimal number of maps is 2 to 3,and in the current development level,mapping to the appropriate detector is important than the detector accuracy.