Abstract
Traditional page-oriented Web search engine is usually only concerned with pure text message and when it comes to video, it can only deal with text-form information added manually. To achieve the purpose of more accurately extracting the video information and searching, this system can automatically extract the content features of video files, and quickly find video files according to the keywords describing the features of video content, through the co-ordination between the analyzing process of contextual color features of video files based on OpenCV, and the index-and-search process of feature metadata based on Lucene. It can be verified that this system has the advantages of high efficiency, high accuracy, and ease of use, etc.
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Niu, L. (2013). Video Content Retrieval System Based on the Contextual Color Features. In: Lu, W., Cai, G., Liu, W., Xing, W. (eds) Proceedings of the 2012 International Conference on Information Technology and Software Engineering. Lecture Notes in Electrical Engineering, vol 212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34531-9_44
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DOI: https://doi.org/10.1007/978-3-642-34531-9_44
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