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- W2359314314 abstract "Most of the researches in extracting semantic concepts do not consider the temporal associated co-occurrence characteristic of multimodes,and label the training set using self-define concepts,thus affecting the accuracy of semantic concepts extraction.Aiming at these problems,this paper brings forward a new approach based on Simfusion algorithm and labeling the training set using ontology repository to extract semantic concepts of video.The method extracts key-frame according to the content of the shots,and makes the most of temporal associated co-occurrence characteristic during in multimode.Meanwhile,the method labels the sample set using the ontology repository and training classifier,thus offsetting insufficiency in subjectivity,incorrect.Experimental result shows that the method can get a better accuracy,well operability and universality in the research of semantic concepts of video." @default.
- W2359314314 created "2016-06-24" @default.
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- W2359314314 date "2011-01-01" @default.
- W2359314314 modified "2023-09-24" @default.
- W2359314314 title "Video Semantic Extraction Based on Simfusion and Ontology" @default.
- W2359314314 hasPublicationYear "2011" @default.
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