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Bridging the Semantic Gap in Image and Video Analysis (Hardcover, 1st ed. 2018)
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Bridging the Semantic Gap in Image and Video Analysis (Hardcover, 1st ed. 2018)
Series: Intelligent Systems Reference Library, 145
Expected to ship within 12 - 17 working days
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This book presents cutting-edge research on various ways to bridge
the semantic gap in image and video analysis. The respective
chapters address different stages of image processing, revealing
that the first step is a future extraction, the second is a
segmentation process, the third is object recognition, and the
fourth and last involve the semantic interpretation of the image.
The semantic gap is a challenging area of research, and describes
the difference between low-level features extracted from the image
and the high-level semantic meanings that people can derive from
the image. The result greatly depends on lower level vision
techniques, such as feature selection, segmentation, object
recognition, and so on. The use of deep models has freed humans
from manually selecting and extracting the set of features. Deep
learning does this automatically, developing more abstract features
at the successive levels. The book offers a valuable resource for
researchers, practitioners, students and professors in Computer
Engineering, Computer Science and related fields whose work
involves images, video analysis, image interpretation and so on.
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