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- W2353565658 abstract "This paper proposed an interactive genetic algorithm(IGA) for football video events retrieval with multimodal features. Eight audio-visual features,i.e.,average and standard deviation of shot duration,motion activity,sound energy,and speech rate, were extracted from each video;they were encoded as chromosomes and indexed into search table.First,the proposed algorithm randomly selected N videos from the initial population of videos database,and the user selected what he(she) wanted in mind.Next,the associated chromosomes of selected videos were regarded as target chromosomes after crossover,and chromosomes in the database videos were compared based on Euclidean distances to obtain the most similar videos as solutions of the next generation.By iterating this process,a new population of videos was retrieved.This approach of retrieval shows about 89%of precision on the average over 400 videos." @default.
- W2353565658 created "2016-06-24" @default.
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- W2353565658 date "2009-01-01" @default.
- W2353565658 modified "2023-09-23" @default.
- W2353565658 title "An Approach for Football Video Event Retrieval Based on Audio/Video" @default.
- W2353565658 hasPublicationYear "2009" @default.
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