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- W1994752248 abstract "Keyframe extraction methods aim to find in a video sequence the most significant frames, according tospecific criteria. In this paper we propose a new method to search, in a video database, for frames that arerelated to a given keyword, and to extract the best ones, according to a proposed quality factor. We firstexploit a speech to text algorithm to extract automatic captions from all the video in a specific domaindatabase. Then we select only those sequences (clips), whose captions include a given keyword, thusdiscarding a lot of information that is useless for our purposes. Each retrieved clip is then divided into shots,using a video segmentation method, that is based on the SURF descriptors and keypoints. The sentence ofthe caption is projected onto the segmented clip, and we select the shot that includes the input keyword. Theselected shot is further inspected to find good quality and stable parts, and the frame which maximizes aquality metric is selected as the best and the most significant frame. We compare the proposed algorithmwith another keyframe extraction method based on local features, in terms of Significance and Quality." @default.
- W1994752248 created "2016-06-24" @default.
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- W1994752248 date "2015-01-01" @default.
- W1994752248 modified "2023-09-25" @default.
- W1994752248 title "Keyword based Keyframe Extraction in Online Video Collections" @default.
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- W1994752248 doi "https://doi.org/10.5220/0005190001700177" @default.
- W1994752248 hasPublicationYear "2015" @default.
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