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Multimedia translation for linking visual data to semantics in videos
2009
Machine Vision and Applications
The semantic gap problem, which can be referred to as the disconnection between low-level multimedia data and high-level semantics, is an important obstacle to build real-world multimedia systems. The recently developed methods that can use large volumes of loosely labeled data to provide solutions for automatic image annotation stand as promising approaches toward solving this problem. In this paper, we are interested in how some of these methods can be applied to semantic gap problems that
doi:10.1007/s00138-009-0217-8
fatcat:3gn4tl3y6zholerqoqx2damob4