Semantic Video Indexing

Publication Teaser Semantic Video Indexing
C. G. M. Snoek, M. Worring, J. M. Geusebroek, D. C. Koelma, F. J. Seinstra, A. W. M. Smeulders
Chapter in Multimedia Retrieval Springer 2007.
[bibtex] [pdf] [url]
Abstract
Query-by-keyword is the paradigm on which machine-based text search is still based. Elaborating on the success of text-based search engines, query-by-keyword also gains momentum in multimedia retrieval. For multimedia archives it is hard to achieve access, however, when based on text alone. Multimodal indexing is essential for effective access to video archives. For the automatic detection of specific concepts, the state-of-the-art has produced sophisticated and specialized indexing methods. Other than their textual counterparts, generic methods for semantic indexing in multimedia are neither generally available, nor scalable in their computational needs, nor robust in their performance. As a consequence, semantic access to multimedia archives is still limited. Therefore, there is a case to be made for a new approach to semantic video indexing.



Bibtex Entry
@InCollection{SnoekMR2007,
  author       = "Snoek, C. G. M. and Worring, M. and Geusebroek, J. M. and Koelma, D. C.
                  and Seinstra, F. J. and Smeulders, A. W. M.",
  title        = "Semantic Video Indexing",
  booktitle    = "Multimedia Retrieval",
  pages        = "225--249",
  year         = "2007",
  editor       = "Blanken, H. M., de Vries, A. P., Blok, H. E., and Feng, L.",
  publisher    = "Springer",
  url          = "https://ivi.fnwi.uva.nl/isis/publications/2007/SnoekMR2007",
  pdf          = "https://ivi.fnwi.uva.nl/isis/publications/2007/SnoekMR2007/SnoekMR2007.pdf",
  has_image    = 1
}
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