With continuous developments in deep learning, image semantic segmentation technology has also undergone great advancements and been widely used many fields with higher accuracy. This paper proposes an algorithm based on a neural network. Based the Mask Scoring R-CNN, this uses symmetrical feature pyramid network adds multiple-threshold architecture to improve sample screening precision. We emp...

To ensure access to rapidly growing video collection, video indexing is becoming more and more important. In this paper, video ontology system for retrieving a video data based on a scene unit is proposed. The proposed system creates a semantic scene as a basic unit of video retrieval, and limits a domain of retrieval through a subject of that scene. The content of semantic scene is defined usi...

Measuring semantic similarity between concepts is an important problem in web mining and text mining which needs semantic content matching. Semantic similarity has attracted great concern for a long time in artificial intelligence, psychology and cognitive science. Many measures have been proposed. The paper contains a review of the state of art measures including path based measures, informati...