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Special issue on concept detection with big data
2015
International Journal of Multimedia Information Retrieval
One of the grand challenges of machine intelligence and pattern recognition for the past decade has been bridging the semantic gap, that is, determining how to translate the low-level features from images, video and audio to the high-level concepts of humans. Concept detection is an important approach toward bridging the semantic gap by allowing computers to understand imagery using the conceptual vocabulary of humans. By exploiting big data, the current generation of algorithms has contributed
doi:10.1007/s13735-015-0083-2
fatcat:faywbr2khbhplo7z5wmtoto5ha