System and method for measuring image similarity based on semantic meaning
作者： Bernice Rogowitz , Aleksandra Mojsilovic , Jose Gomes
DOI:
关键词: Semantic similarity 、 Semantics 、 Matching (graph theory) 、 Set (abstract data type) 、 Similarity (psychology) 、 Artificial intelligence 、 Pattern recognition 、 Perception 、 Mathematics 、 Image (category theory) 、 Meaning (philosophy of language)
摘要: A method includes deriving a plurality of semantic categories for representing important cues in images, where each category is modeled through combination perceptual features that define the semantics and discriminate from other categories; category, forming set comprising required frequently occurring features; comparing an image to said classifying as belonging one if all at least are present image. database contains information, information already classified network locations images documents containing images. The searched matching input query, comprising, e.g., image, text, or both.
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