Abstract
The easy availability of image and video digitalization technologies as well as low-cost storage media nowadays enable the rapid propagation of digitalized image and video content to various distributed archives and especially the World Wide Web. This allows for easy access to enormous collections of image and video content for everyone. With the continuous growth in the sizes of these collections, effective and reliable management of the data becomes a more and more challenging task. Consequently, there is a need for essential techniques such as indexing, which enables more efficient browsing, searching and manipulation of digital content. In order for indexed digital content to be useful in such application scenarios, the indices must be as rich and as complete as possible.
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Mbanya, E., Gerke, S., Hentschel, C., Linnemann, A., Ndjiki-Nya, P. (2014). Semantic Concept Identification for Images and Videos. In: Wahlster, W., Grallert, HJ., Wess, S., Friedrich, H., Widenka, T. (eds) Towards the Internet of Services: The THESEUS Research Program. Cognitive Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-06755-1_7
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