Abstract
Content-based video indexing and retrieval algorithms are presented in this paper that aim at temporally indexing a video sequence according to actors. Our system splits a video into a sequence of a few representative frames. We use color information and then SGLD matrix on the representative frames for face region detection. Detected faces are used to build a face database. We construct eigen faces applying PCA on the faces in the face database for extracting important features. Extracted features are then used in MPM for identifying the input face from the training faces. Experimental result shows that our approach can correctly recognize 95.3% and 90.84% of the faces from the AT&T face database and video sequence respectively.
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Islam, M.K., Lee, ST., Baek, JH. (2006). Actor Based Video Indexing and Retrieval Using Visual Information. In: Jiao, L., Wang, L., Gao, X., Liu, J., Wu, F. (eds) Advances in Natural Computation. ICNC 2006. Lecture Notes in Computer Science, vol 4222. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881223_61
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DOI: https://doi.org/10.1007/11881223_61
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45907-1
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