Big Image Data 15Vs Model for Intelligent Data Ocean of Multimedia Things
Aminollah Mahabadi,
Faezeh Abdolazimi
Abstract:The classification of large image data using traditional methods has been based on changes in image gray features, extraction of edge and contour feature information, or conversion between image coordinate sets. However, due to the growth of new image size and big image data (BID) in real-time multimedia communication and future online big data (BD) applications, these methods have become increasingly complex and resulting in poor real-time performance. These complex methods suffer from complex algorithms, mas… Show more
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