Video shots’ matching via various length of multidimensional time sequences

Video shots’ matching via various length of multidimensional time sequences

Автор: Zhengbing Hu, Sergii V. Mashtalir, Oleksii K. Tyshchenko, Mykhailo I. Stolbovyi

Журнал: International Journal of Intelligent Systems and Applications @ijisa

Статья в выпуске: 11 vol.9, 2017 года.

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Temporal clustering (segmentation) for video streams has revolutionized the world of multimedia. Detected shots are principle units of consecutive sets of images for semantic structuring. Evaluation of time series similarity is based on Dynamic Time Warping and provides various solutions for Content Based Video Information Retrieval. Time series clustering in terms of the iterative Dynamic Time Warping and time series reduction are discussed in the paper.

Time Series Processing, Data Clustering, Video Streams, Visual Attention, Similarity Measures, Dynamic Time Warping

Короткий адрес: https://sciup.org/15016431

IDR: 15016431   |   DOI: 10.5815/ijisa.2017.11.02

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