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Automatic movie summarization based on the visual-audio features is introduced. The importance evaluation model for video clips chooses face detection and atwitter shot detection as the basis. Against the difficult of movie's speech endpoint detection, speech endpoint detection based on subtitles of movie is introduced, which can help detect the captions' start or end time exactly. Compared with other...
Retrieving the wanted contents within large amount of video quickly is one of the key technologies of advertisement recognition. This paper analyzed the principle of AdaBoost algorithm and SURF matching algorithm, and designed a system of target face retrieving. The Adaboost algorithm was used to detect the faces from video key flames, and SURF matching algorithm was used to match the targeted face...
In this paper we present a novel approach for discrimination of frontal face in video, using integral channel features(ICF) and Adaboost. We have two stages for this approach based on classification, the first stage is training process, we utilize ICF exacted from training database to train strong classifier, which is implemented by Adaboost. The second stage is discriminating process by scoring,...
This work aims at designing a face detection system with high speed of processing and a reduced number of false positives compared to the well known Haar feature-based face detector developed by Viola and Jones. In this method, HS channels of HSV color space are logically combined for skin-color region extraction, then a blob-contour-property based filtering is used to indicate the optimum ROI (regions...
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