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Advance Image and Video Search: RGB and Histogram
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Suyog Gupta
Abstract - Advances
in the media and entertainment industries, including streaming audio and
digital TV, present new challenges for managing and accessing large
audio-visual collections. Current content management systems support retrieval
using low-level features, such as motion, color, and texture. However,
low-level features often have little meaning for naive users, who much prefer
to identify content using high-level semantics or concepts. This creates a gap
between systems and their users that must be bridged for these systems to be
used effectively. To this end, in this paper, we first present a
knowledge-based video indexing and content management framework for
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