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Video summarization method based on mining story structure and semantic relations among concept entities thereof
A video summarized method based on mining the story structure and semantic relations among concept entities has steps of processing a video to generate multiple important shots that are annotated with respective keywords: Performing a concept expansion process by using the keywords to create expansion trees for the annotated shots; rearranging the keywords of the expansion trees and classifying to calculate relations thereof; applying a graph entropy algorithm to determine significant shots and edges interconnected with the shots. Based on the determined result of the graph entropy algorithm, a structured relational graph is built to display the significant shots and edges thereof. Consequently, users can more rapidly browse the content of a video and comprehend if different shots are related.
National Cheng Kung University
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G06F G06T G11B G11B G11B
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Jia-Ching Bo-Wei Chia-Hung Jhing-Fa
Wang Chen Chang Wang