Automatic parsing and indexing of news video
Multimedia Systems
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MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
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SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
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Detecting anchor shots accurately is very important for automatically parsing news video and extracting news items. The paper presents a fast anchor shot detection algorithm, based on background chrominance and skin tone models. The algorithm involves only simple computation, but robust. Moreover it operates in MPEG compression domain, which makes the detection speed very fast. The algorithm was evaluated on a big test set containing more than 480000 frames and news video from two different TV stations. More than 98.9% accuracy and 100% recall have been obtained. The experiment results also show the system has an average detection speed of 77.55 E/s. The statistics indicates the algorithm is fast and effective.